TWI353525B - Apparatus, system, and method for autonomic contro - Google Patents
Apparatus, system, and method for autonomic contro Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
- G06F9/5072—Grid computing
Description
1353525 九、發明說明: 【發明所屬之技術領域】 本發明係關於網格運算(gridCC)mputing),尤其關於一網 格運算系統中,性能資源之自主(autonomic)控制。 【先前技術】 網格運算是運算產針之—相對較新科技。許多目前的網 格運算系統被設計容許多個互連電腦、或節點一1353525 IX. Description of the Invention: [Technical Field of the Invention] The present invention relates to grid computing (gridCC) mputing, and more particularly to autonomic control of performance resources in a grid computing system. [Prior Art] Grid computing is a relatively new technology for calculating needles. Many current grid computing systems are designed to allow multiple interconnected computers, or node ones
Wmcuientai)閒置⑽)處理器時間。 此外,網格運算系統可容許遍及系 儲存。如此則資料可例如以 μ只竹口J例如以一備份形式,玉 節點虛擬儲存大量的資料。 統中複數個節點之共享 遠端儲存於系統,並 設計和實作網格運算系統 網袼運算系統可用性能資源對 …之—主要問題騎源管理。管理 源對系統切喊十分重要的 。舉例Wmcuientai) Idle (10) processor time. In addition, grid computing systems can be used throughout the system. In this way, for example, the data can be stored in a virtual form, for example, in a backup form, and the jade node virtually stores a large amount of data. The sharing of multiple nodes in the system is stored remotely in the system, and the grid computing system is designed and implemented. The performance resources available for the network computing system are... The main problem is the riding source management. Management sources are very important to the system. Example
4 旧 M/04137TW -二 ° 網格運异系統可從許多節點獲得許多不同儲存、記憶 '處理資源’然而這些性能資源必須以一有組織且有生產力 的方式利崎網格系統中。 傳統網格系統一般提供一刺激-回應(stimulus-response ) 裱境’其中簡單地回應一給定刺激而執行作業(〇perati〇ns) 和令。舉例而言u格應用程式要求某程度的處理器能 力或特疋儲存空間量,則簡單地分派此量的處理器能力或儲 存空間供執行此網格應用程式。此類型的刺激-回應環境不管 分散(distributed)運算之動態本質,分散運算中許多性能資 源可被動態配置(allocated )、回收(reclaimed )、保留(代謂& ) 與其他。由於在這樣-働_境巾無法調_格顧程式作 業,網格運算作業必須保持相對簡單,以符合一簡單刺激-回 應環境。 因此’對有助於較佳之一網格運算系統上性能資源之自主 控制的-裝置、綠、及方法存在著需求。有益的是這樣的一 裝置、系統、及方法可克服網格翻程式與_格運算系統上目 前的限制。4 The old M/04137TW-two-grid-transport system can obtain many different storage and memory 'processing resources' from many nodes. However, these performance resources must be in an organized and productive way in the Akasaki grid system. Traditional grid systems generally provide a stimulus-response environment in which jobs (〇perati〇ns) and orders are simply executed in response to a given stimulus. For example, if a u-grid application requires a certain level of processor power or a particular amount of storage space, then simply allocate this amount of processor power or storage space for execution of the grid application. This type of stimulus-response environment, regardless of the dynamic nature of distributed operations, many of the performance resources in a decentralized operation can be dynamically allocated, reclaimed, reserved (spoken & ) and others. Because in this way, grid operations must be relatively simple to fit a simple stimulus-response environment. Therefore, there is a need for devices, greens, and methods that contribute to the autonomous control of performance resources on a preferred grid computing system. Advantageously, such a device, system, and method overcomes the current limitations of grid flipping and grid computing systems.
4IBM/04137TW 1353525 【發明内容】 本發明已回應技藝之目前狀態而發展,且特別地是回應此 技藝中,目前可用網格運算系統未完全解決的問題和需求:因 =本發明已發展來提供一裝置、系統和方法,供在—網格運 算系統上自主管理網格系統資源,克服許多或全部技藝中上面 討論的缺點。 供在一網格運算系統上自主管理網格系統資源之裝置,具 邏輯單元包含複數個模組’供功能地執行在一網格運算系統 上自主官理網格系統資源之必要步驟。所述實施例中的這些模 組包含一總體(global)監視模組、一總體政策(ρ〇1々)模組、 一總體調節(regulation)模組、一總體保留(reseryati〇n)模 組、一總體終止(termination)模組、一總體仲裁(arbitrati〇n) 模組、以及一總體設定槽(profile)模組。 本發明之一系統亦供在一網格運算系統上自主管理網格 系統資源。此系統可實施於一區域網路、一廣域網路(wide area network)、區域和廣域網路之一結合、一或更多無線網路、一 網際網路為基礎之網格運算網路、或任何其他數目的網格運算 環境中。特別地,一實施例中,此系統包含一總體自主管理裝4 IBM/04137TW 1353525 [Description of the Invention] The present invention has evolved in response to the current state of the art, and in particular in response to the art, the problems and needs that are currently not fully addressed by grid computing systems are available: A device, system and method for autonomously managing grid system resources on a grid computing system, overcoming the shortcomings discussed above in many or all of the art. A device for autonomously managing grid system resources on a grid computing system, with logic units including a plurality of modules' necessary steps for functionally executing autonomous government grid system resources on a grid computing system. The modules in the embodiment include a global monitoring module, an overall policy (ρ〇1々) module, a general regulation module, and a total retention (reseryati〇n) module. , a general termination module, an overall arbitration (arbitrati〇n) module, and an overall set profile module. One of the systems of the present invention also provides for autonomous management of grid system resources on a grid computing system. The system can be implemented in a regional network, a wide area network, a combination of regional and wide area networks, one or more wireless networks, an internet based grid computing network, or any Other numbers of grid computing environments. In particular, in one embodiment, the system includes an overall self-management device
4IBM/04137TW ¢353525 置、一局部(local)自主管理裝置、一政策模組、以及一調節 模組。此糸統可更包含一汀用(subscription)管理器,以為每 一連接至此網格運算系統之客端(client)管理一付費訂用。 亦為在一網格運算系統上自主管理網格系統資源提出一 客端。一實施例中,此客端具有一邏輯單元,包含複數個模組, 供功能地執行在一網格運算系統上自主控制一網格系統資源 之必要步驟。所述實施例中的這些模組包含一客端監視模組、 —客端政策模組、一客端通知(notification)模組、一客端配 置模組、一客端回收模組、一客端啟動(initiati〇n)模組、一 客端終止(termination)模組、和一客端設定檔模組。 亦為在一網格運算系統上自主管理網格系統資源提出本 發明之一方法。所揭露實施例中之方法實質上包含執行關於所 述裏置和系統之作業的上述功能所需的步驟。一實施例中,此 方法包含監視網格運算系統之一觸發(trigger)事件;存取複 數個系統政策之一;根據複數個系統政策之一,回應一已辨識 (recognized)觸發事件’調節系統資源。某實施例中,複數 個糸統政東之母一對應網格運算糸統之一系統資源的一作業 控制參數。此外,觸發事件可為一啟動觸發事件、一調節觸發 事件、或一預測觸發事件。4IBM/04137TW ¢353525, a local (local) autonomous management device, a policy module, and an adjustment module. The system may further include a subscription manager to manage a subscription subscription for each client connected to the grid computing system. It also proposes a client for autonomously managing grid system resources on a grid computing system. In one embodiment, the client has a logic unit that includes a plurality of modules for functionally executing the steps necessary to autonomously control a grid system resource on a grid computing system. The modules in the embodiment include a client monitoring module, a client policy module, a guest notification module, a client configuration module, a client recycling module, and a guest. An initiati〇n module, a guest termination module, and a guest profile module. One method of the present invention is also proposed for autonomously managing grid system resources on a grid computing system. The method of the disclosed embodiments essentially comprises the steps required to perform the above-described functions with respect to the operations of the built-in and system. In one embodiment, the method includes monitoring one of a trigger event of the grid computing system; accessing one of a plurality of system policies; responding to a recognized (recognized) trigger event based on one of a plurality of system policies Resources. In one embodiment, a plurality of mothers of the Orthodox Orthodox one correspond to a job control parameter of a system resource of the grid computing system. In addition, the trigger event can be a start trigger event, an adjustment trigger event, or a predictive trigger event.
4 旧 M/04137TW 1353525 此方法亦可包含為一網格系統作業保留系統資源,為—網 格系統作業終止源之-保留,根據-仲裁政策仲裁衝 突(conflicting)網格系統作業,以及儲存一系統資源設定檔。 一實轭例中,此系統資源設定檔識別(identi办)配置給網格 系統的一客端資源。 本發明之一實施例有益地容許一網格運算環境中,自主管 理動態配置性能資源。此外,本發明另—實施例有益地容許網 格運算系統中’客端自±配置及回收性能資源。進—步實施例 有益地使總體自主管理裝置可自主地保留已配置性能資源給 特定網格應用程式與作業。 遍及此說明書提及的特徵、優點或類似表達方式 (language)並+意味所有這些本發明可能實現的特徵和優點 應該在或在itb發.—單―實補巾。倒不如說是提及這些特 徵和優點之表達方式被理解成意味有關—實關說明之一特 疋特徵、優點或特性被包含在本發明之至少—實施例中。因 此遍及此說明書對特徵、優點和類似表達方式之討論可參照 (但非必要)至相同實施例。4 Old M/04137TW 1353525 This method may also include retaining system resources for a grid system job, - the grid system job termination source - reservation, according to - arbitration policy arbitration conflict (conflicting grid system operations, and storage one System resource profile. In a real yoke example, the system resource profile identification (identi) is configured to a guest resource of the grid system. One embodiment of the present invention advantageously allows dynamic configuration of performance resources from a host in a grid computing environment. Moreover, another embodiment of the present invention advantageously allows the 'client' to self-configure and recover performance resources in a grid computing system. Further embodiments advantageously enable the overall autonomous management device to autonomously retain configured performance resources to specific grid applications and jobs. The features, advantages, or similar expressions referred to throughout this specification and + meaning that all of the features and advantages that may be achieved by the present invention should be made at or in itb. Rather, the expression of these features and advantages is to be understood as meaning that one of the features, advantages, or characteristics of the present invention is included in at least the embodiments of the present invention. Thus, the discussion of features, advantages, and similar expressions throughout the specification may be referred to, but not necessarily, to the same embodiments.
4IBM/04137TW -10- 此外,此發明所述特徵、優點和特,时以任何適合方式結 合於-或更多實施例中。熟此相關技藝者會辨識出,此發明可 實施為沒有—_實施狀—錢乡狀舰麵點。魏例 子中,可辨識於某些實施例中有額外特徵和優點,是可不出現 在此發明所有實施例中的。 從之後說明與所附請求項,本發明之此些特徵與優點會變 得更完全_,或者可如文後提出之發明之實作而學習。 【實施方式】 此說明書中描述之許多功能性單元已被標示為模組,以更 特別地強調他們的實作獨立性。舉例而言,—模組可實作為一 硬體電路’包含客制超大型積體電路(VLSI)或閉陣列,現 有料體’像是邏輯晶片.,電晶體,或其他分離元件。一模組 亦可實作於可程式硬體裝置中,像是場可程式閘陣列、可程式 陣列邏輯、可程式賴裝置或其他類似者。 模組亦可實作為軟體’供不同類型處理器執行。可執行碼 之—已識聰組可例如包含電腦指令之—或更多實體或 塊,其可例如被組織成-物件、程序、或函數。_,一已識4IBM/04137TW -10- In addition, the features, advantages and features of the invention are combined in any suitable manner with - or more embodiments. Those skilled in the art will recognize that the invention can be implemented as a no--implementation-money-like ship point. In the examples, it will be recognized that there are additional features and advantages in certain embodiments that may not be present in all embodiments of the invention. These features and advantages of the present invention will become more fully apparent from the following description and appended claims. [Embodiment] Many of the functional units described in this specification have been labeled as modules to more particularly emphasize their implementation independence. For example, a module can be implemented as a hard circuit 'containing a custom ultra-large integrated circuit (VLSI) or a closed array, and the existing material is like a logic chip, a transistor, or other separate components. A module can also be implemented in a programmable hardware device such as a field programmable gate array, programmable array logic, a programmable device or the like. Modules can also be implemented as software 'for different types of processors. The executable code - the group of known identities may, for example, comprise computer instructions - or more entities or blocks, which may for example be organized into - objects, programs, or functions. _, one knows
4IBM/04137TW -11 - 別模組之可執行(exeeutables) Μ實體雜在—起,而可包 钱存於不同位置中的不同指令,邏輯上結合在-起,包含此 模組並為模組達到指定目的。 的確’可執行碼之-模組可為—單_指令,或許多指令, 且甚至可分散於幾個獨碼段(eode segment)、獨程式,以 及遍佈幾個記憶體裝置。類似地’文中作業㈣可被識別與例 不於模組巾’且可峰何適合形式實施,並域在任何適合類 型之資料結構卜此作業·可被收集成—單—請組,或可 分散在不同位置,包含在不同儲存震置、在不同記憶體裝置, 且可至少部分地只存在為—系統或網路上的電子訊號。 此外’模組亦可實施為軟體和一或更多硬體裝置之—結 合。例如-餘可實施為儲存在—記憶難置上—軟體可執行 碼·之結合。進-步範财…模組可為在—組作業資料上作^ 的-處理II之結合。又進-步,-模組可實作為經傳輸電路通 訊之一電子訊號的結合。 、遍及此說明書提及之「-個實施例」、「―實施例」或類似 表達方式意指關於此實施例說明之-特別特徵、結構或特性被4IBM/04137TW -11 - Executables of ex-modules (exeeutables) Μ Entity is intertwined, and different instructions can be stored in different locations, logically combined, including this module and module Achieve the intended purpose. Indeed, the 'executable code' module can be a single_instruction, or many instructions, and can even be spread over several eode segments, solitary programs, and across several memory devices. Similarly, 'work in the text (4) can be identified and not in the form of a module towel' and can be implemented in any suitable form, and the domain is in any suitable type of data structure. This operation can be collected into a single-please group, or Dispersed in different locations, contained in different storage locations, in different memory devices, and can exist, at least in part, as electronic signals on a system or network. In addition, the module can also be implemented as a combination of a soft body and one or more hardware devices. For example, the remainder can be implemented as a combination of storage-memory hard-to-software executable code. The step-by-step method can be used to make a combination of - and II on the group work data. Further, the step--module can be used as a combination of electronic signals transmitted through the transmission circuit. References to "an embodiment", "an embodiment", or the like, as used throughout this specification, mean that the particular features, structures, or characteristics described in connection with this embodiment are
4IBM/04137TW -12- 1353525 包含於本發明至少-實施例中。因此,遍及此說明書的片語「一 個實施例中」、「-實施例中」及類似表達方式之出現可,但非 必要地,全參照至相同實施例。 進-步’此發明所述特徵、結構或特性可以任何適合方式 結合於-或更多實施例中。以下說明中,提供眾多特定細節, 像是程式、軟體模組、使用者選擇、網路交易(netw〇rk φ transaction)、資料庫查詢、資料庫結構、資料庫、硬體模組、 硬體電路、硬體晶片等之範例,以提供此發明實施例之一徹底 了解。然而熟此相關技藝者可辨認出此發明可沒有一或更多特 定細節而實施,或以其他方法、元件、材料等等實施。其他例 子中’週知結構、材料或作業沒有詳細顯示或說明,以避免模 糊此發明之面向。 圖一描繪一網格系統100,包含一網格伺服器丨02,經由 一通訊通道112連接至多個客端104-110,或節點。此例示網 格系統100類似一區域網路,而通訊通道112於一實施例中可 為一乙太網珞通訊通道、一無線通訊通道、或其他均等通訊通 道。類似地,通訊通道Π2可包含不同類型通訊通道之一結 合。雖然所描綠網格系統1〇〇包含一網格伺服器1〇2以及四個4IBM/04137TW -12- 1353525 is included in at least an embodiment of the present invention. Thus, appearances of the phrase "in one embodiment", "the embodiment", and <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; </ RTI> <RTIgt; The features, structures or characteristics of the invention may be combined in any suitable manner in the embodiment or embodiments. The following instructions provide a number of specific details, such as programs, software modules, user selection, network transactions (netw〇rk φ transaction), database queries, database structures, databases, hardware modules, hardware Examples of circuits, hardware chips, and the like, are fully understood to provide one of the embodiments of the invention. However, it will be appreciated by those skilled in the art that the invention may be practiced without one or more specific details, or by other methods, components, materials, and the like. In other instances, well-known structures, materials, or operations have not been shown or described in detail to avoid obscuring aspects of the invention. Figure 1 depicts a grid system 100 including a grid server 丨 02 connected to a plurality of clients 104-110, or nodes, via a communication channel 112. The exemplary grid system 100 is similar to a regional network, and in one embodiment, the communication channel 112 can be an Ethernet communication channel, a wireless communication channel, or other equal communication channel. Similarly, communication channel Π2 can include one of a combination of different types of communication channels. Although the depicted green grid system 1〇〇 contains a grid server 1〇2 and four
4IBM/04137TW 客端1〇4-110’網格系、统1〇〇可包含具有更少或更多客端 104夕於#服器1〇2、或其他词服器配置之不同網路配置 ^一結合。—進—步實施例中,網格系統1GG亦可包含-訂用 言理器(未示)如參照圖二所說明。一實施例中,網格祠服 器102可同時做為網格系統100之訂用管理器。 在一實施例中,網格系統100供執行-網格應用程式。-網格應用程式係-起達成—特定目標的工作項目之—集合。舉 例而言,-網格應用程式可決定非常複雜的數學計算,包含天 氣預測、股市發展等等…網格制程式亦可處理大規模多媒 體作業3 f施例中’一網格應用程式可為大量且多種資料 執行= 貝料備f/J作業。這些方案之每―中,執行—網格應用程式 可能需要網格系統1GG中幾個節點1G4_11G之合作。 一網格應贿式可分成工件紅作之單—單元。一網格應 用程式之幾個工件可同時地(c〇nc_tly)、連續地㈤卿)、 或共存地(co-dependently)執行於不同節點1〇4七〇之一或更多 節占104 110之每—會配置某程度性能資源給網格系統 卿’供執行網格應用程式。客端1〇4·11〇使之可用的這些性 能資源可包含處理器性能(capabmiy )、處理器效能4IBM/04137TW Client 1〇4-110' Grid System, System 1〇〇 can contain different network configurations with fewer or more clients 104, or other server configurations ^ One combination. In the step-by-step embodiment, the grid system 1GG may also include a subscription processor (not shown) as described with reference to FIG. In one embodiment, the grid server 102 can serve as a subscription manager for the grid system 100 at the same time. In an embodiment, grid system 100 is provided for execution-mesh applications. - Grid Application - A collection of work items that are achieved - a specific goal. For example, the Grid application can determine very complex mathematical calculations, including weather forecasting, stock market development, etc... Grid programs can also handle large-scale multimedia jobs. 3 f Instances can be A large number of data execution = shell material preparation f / J operation. Each of these solutions, the Execution-Grid application may require the cooperation of several nodes 1G4_11G in the Grid System 1GG. A grid should be divided into a single unit of the workpiece red. Several artifacts of a grid application can be executed simultaneously (c〇nc_tly), continuously (five), or co-dependently on different nodes 1〇4〇 one or more sections 104 110 Each—a level of performance resources will be configured for the grid system to execute the grid application. These performance resources available to the client 1〇4·11〇 can include processor performance (capabmiy), processor performance
4IBM/04137TW -14, 1353525 (capacity)、儲存容量(capacity)、記憶體容量、以及其他類 似貧源。-實施例中,一客端1〇4七阿將一特定量之總處理 裔性能、儲存容量、或記憶體容量用於網格系統100,供執行 網格應用程式。 母客k 104-110可做為一來源(s〇urce)客端或一資源 (resource)客端’視客端1〇411〇於一特別網格應用程式中 之角色而定。舉例而言’客端104-110啟動-網格應用程式者, 客端1〇4-11〇做為一來源客端。另一種是,客端賴ι〇使局 雜能貝源可純行—遠端啟細格應絲式顧者,客端 104 110做為—魏客端^舉例而言,於—網格備份作業情形 中,:來源客端可備份資料難於—或更多資源客端上,而資 源客端為這樣的備份網格顧程式配置-些可用齡給網格 系統刚。一進—步實施例中,除為網路100做為-伺服器102 外,網格伺服器102亦可做為網格系統100上一客端,於系統 令/、可啟動網格應用程式,並使區域性能資源可為網格系统 100所用。 ~ 圖-騎-網格系統之另—實施例200,於某些面向和圖 一之網格系統100類似。此例示網格系統200作業於網際網路4IBM/04137TW -14, 1353525 (capacity), storage capacity, memory capacity, and other similar sources of poverty. In an embodiment, a client 1 〇 七 将 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 。 The parent k 104-110 can be used as a source (s〇urce) client or as a resource client depending on the role of the client in a special grid application. For example, the client 104-110 launches the grid application, and the client 1〇4-11〇 acts as a source client. The other is that the guest 赖 〇 〇 局 局 局 杂 贝 贝 — — — — — — 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端 远端In the case of the job, it is difficult for the source client to back up the data—or more resources on the client, and the resource client is configured for such a backup grid—some available age to the grid system. In the first embodiment, in addition to the network 100 as the server 102, the grid server 102 can also be used as a client on the grid system 100 to enable the grid application in the system. And make regional performance resources available to grid system 100. ~ Figure-Riding-Grid System Another Embodiment 200 is similar to some of the grid system 100 of Figure 1. This exemplary grid system 200 operates on the Internet
4IBM/04137TW -15· 1353525 中,此例示總體自主管理器300係供幫助網格系統100上性能 資源之自主控制。一實施例中,總體自主管理器3〇〇包含一中 央處理單元(central processing unit,CPU) 302,一區域儲存 裝置304, 一使用者介面306, 一網路介面308,一記憶體310, 以及一總體自主管理裝置312。中央處理單元3〇2於總體自主 管理器300中,一般供執行作業。一實施例中,使用者介面 306供容許一使用者和總體自主管理器3〇〇互動,包含從一使 用者輸入資料和命令以及溝通輸出資料給使用者。一實施例 申,網路介面308供幫助於網格網路1〇〇之通訊通道112上, 總體自主管理器300之網路通訊。 實施例中’區域記憶體310供儲存可和網格性能資源乏 自主控制一起使用的一些資料和元資料(metadata)槽案。另 -實施例中’這些·與元㈣難之—絲全部可於區域儲 存裝置304中被複製。一進一步實施例中,這些資料與元資料 檔案之-或全部可專有地(exdusivdy)齡於區域儲存裝置 304中,而非於記憶體310中。類似地,這些資料與元資料檔 案可儲存在區域記憶體310和儲存3〇4之一結合上。另一實施 例中,這些資料與元資料槽案之—或全部可儲存於網格系統 1〇0上的分散儲存巾。雜本說明提及「縣」,本發明被理In 4IBM/04137TW -15 1353525, this exemplary overall autonomic manager 300 is used to assist in the autonomous control of performance resources on the grid system 100. In one embodiment, the overall autonomic manager 3 includes a central processing unit (CPU) 302, a regional storage device 304, a user interface 306, a network interface 308, a memory 310, and An overall autonomous management device 312. The central processing unit 〇2 is in the overall autonomic manager 300, typically for performing work. In one embodiment, the user interface 306 allows a user to interact with the overall autonomic manager 3, including inputting data and commands from a user and communicating output data to the user. In one embodiment, the network interface 308 is provided to facilitate network communication of the overall autonomous manager 300 on the communication channel 112 of the mesh network. In the embodiment, the area memory 310 is used to store some data and metadata slots that can be used with the autonomous control of the grid performance resources. Further, in the embodiment, "these" and the element (4) are difficult - all of which can be copied in the area storage means 304. In a further embodiment, all or all of the data and metadata files may be exclusively used in the area storage device 304, rather than in the memory 310. Similarly, these data and metadata files can be stored in combination with one of the area memory 310 and the storage unit 。4. In another embodiment, the data and the metadata slot - or all of the scattered storage towels that can be stored on the grid system 1 〇 0. The description of the miscellaneous notes refers to "counties", and the present invention is rationalized.
4IBM/04137TW -17- 解成’以和使用其他電子記憶體與儲存結構實質上相同之方式 來運作。文中提及資料檔案或元資料檔案被理解成均等地意指 其他這樣的電子記憶體和儲存結構。 特別地,記憶體310可儲存一系統資源設定檔314、一或 更多系統預測(prediction)政策316、一或更多系統調節政策 318、一或更多系統終止政策32〇、以及一或更多系統仲裁政 策321。一實施例令,系統資源設定檔314供儲存一或更多參 數,指示特定性能資源用於或配置給網格系統1〇〇。一實施例 中,系統預測政策316供定義一或更多預測觸發事件,並指示 總體自主管理器3GG要採取哪個行動回應—已辨識預測觸發 事件。 同樣地,一實施例中,系統調節政策318供定義一或更多 調節觸發事件,並指示總體自”理器要採取哪個行動回 應一已辨__發事件。類似地’―實施例中,系統終止政 策320供定義—或更多終止觸發事件,並指示總體自主管理器 300要採取哪個行動回應一已辨識終止觸發事件。此外,一實 施例中,系統仲裁政策奶供儲存—或更多仲裁政策,其指二 總體自主管理器要採取哪個行動回應—已辨識衝突。4IBM/04137TW -17- is implemented in a manner substantially the same as using other electronic memory and storage structures. Reference to a data file or a metadata file is understood to mean equally such other electronic memory and storage structures. In particular, memory 310 can store a system resource profile 314, one or more system prediction policies 316, one or more system conditioning policies 318, one or more system termination policies 32, and one or more Multi-system arbitration policy 321,. In one embodiment, system resource profile 314 is used to store one or more parameters indicating that a particular performance resource is being used or configured for the grid system. In one embodiment, the system prediction policy 316 is used to define one or more prediction trigger events and to indicate which action response the overall autonomic manager 3GG is to take - the predicted prediction trigger event. Similarly, in one embodiment, the system adjustment policy 318 is used to define one or more adjustment trigger events and to indicate which action the overall processor is to take in response to an identified event. Similarly, in an embodiment, The system termination policy 320 is for definition - or more termination trigger events and indicates which action the overall autonomic manager 300 is to take in response to an identified termination trigger event. Additionally, in one embodiment, the system arbitration policy is for milk storage - or more Arbitration policy, which refers to the action taken by the overall autonomic manager - the identified conflict.
4IBM/04137TW -18· 1353525 —觸發事件可包含上述政策316、318、320、321之一定 義的任一行動。舉例而言,一觸發事件可包含資料流中一改 鋟,時間中一改變,一排定時間,一網格作業,一客端作業, 一自動(automatic)作業,一手動作業,一使用者要求,或這 些和其他類型客端、網格、使用者與其他被監視行動之一變化 或結合之任一。 一實施例中,總體自主管理裝置312供幫助網格系統1〇〇 上性能資源之自主控制。例示總體自主管理裝置312包含一總 體監視模組322、一總體政策模組324、以及一總體調節模組 326。 一實施例中’總體監視模組322供監視網格系統1〇〇之一 觸發事件,其由系統預測、調節、或終止政策316、318、32〇 之—定義。一實施例中,總體政策模組324供容許一使用者存 取與疋義糸統預測、調節、或終止政策316、318、320。 一實施例中,總體調節模組312供根據系統預測、調節、 或終止政策316、318、320 ’回應一已辨識觸發事件,自主地 D周雖網格系統1GG上的性能資源。所描繪總體調節模組3264IBM/04137TW -18· 1353525—The triggering event may include any of the actions of the above policies 316, 318, 320, 321 . For example, a trigger event may include a change in the data stream, a change in time, a scheduled time, a grid job, a client job, an automatic job, a manual job, and a user. Requires, or changes or combinations of these and other types of clients, grids, users, and other monitored actions. In one embodiment, the overall autonomous management device 312 is provided to assist in the autonomous control of performance resources on the grid system. The exemplary autonomous management device 312 includes an overall monitoring module 322, an overall policy module 324, and an overall adjustment module 326. In one embodiment, the overall monitoring module 322 is used to monitor one of the triggering events of the grid system, which is defined by the system prediction, adjustment, or termination policies 316, 318, 32A. In one embodiment, the overall policy module 324 is for allowing a user to access and predict, adjust, or terminate policies 316, 318, 320. In one embodiment, the overall adjustment module 312 is operative to respond to an identified trigger event in accordance with the system prediction, adjustment, or termination policy 316, 318, 320', autonomously D performance resources on the grid system 1GG. The overall adjustment module 326 is depicted
4IBM/04137TW -19· 包含一總體保留模組328、一總體終止模組330、_總體仲裁 模組332、以及一總體設定檔模組334。 一實施例中’總體保留模組328供保留網格系統1〇〇上一 性能資源給一特定網格應用程式或網格系統作業。一實施例 中乂類似方式’總體終止模組330供終止一特定網格應用 程式之一性能資源的保留。以此方式,總體自主管理裝置312 可分派與去分派(unassign)網格系統1〇〇上的某些已配置性 能資源’供執行特定網格應用程式或工件。 實施例中’總體仲裁模組332供仲裁競爭的網格應用程 式需求與衝突的性能分派。舉例而言,總體仲麵組332 可暫時地搁置分派給目前使用中的一()·生能資源之一工件的分 派或執行。—進—步實施例中,總體仲裁模組可供仲裁衝突的 網格系統作業與區域客端作業。舉例而言,是可能一客端 104-110可回收先前分派給網格系統觸使用的一性能資源。 此障士中’可能需要重新執行巾止的網格健,或分派替代性 能資源以完成被擱置網格作業。4IBM/04137TW -19· includes an overall reservation module 328, an overall termination module 330, an overall arbitration module 332, and an overall profile module 334. In one embodiment, the overall reservation module 328 is used to reserve the grid system 1 for a performance resource for a particular grid application or grid system operation. In one embodiment, a similar manner, the overall termination module 330, terminates the retention of performance resources of a particular grid application. In this manner, the overall autonomic management device 312 can dispatch and unconfigure certain configured performance resources on the grid system 1 for execution of a particular grid application or artifact. In the embodiment, the overall arbitration module 332 is used for arbitration application of grid application requirements and conflicting performance assignments. For example, the overall secondary group 332 may temporarily suspend the assignment or execution assigned to one of the currently used ones of the resources. In the advanced embodiment, the overall arbitration module is available for arbitrating conflicting grid system operations and regional client operations. For example, it is possible that a client 104-110 can reclaim a performance resource that was previously assigned to the grid system for use. In this barrier, it may be necessary to re-execute the mesh of the towel, or to assign an alternate performance resource to complete the placed grid job.
只知例中,總體奴槽模組可供管理系統資源設定 4BM/04137TW -20· 檔314。一實施例中,總體設定檔模組334可追蹤遍及網格系 統100之可用性能資源。一進一步實施例中,總體設定檔模組 334亦可追蹤網格系統100上之可用性能資源的使用。此外, 總體設定槽模組334可供使系統資源設定槽314與客端 104-110之一或更多上的一類似設定檔同步。 圖四描繪一客端之一實施例400 ’其於網格系統1〇〇中可 運作為一來源客端或一資源客端。就像圖三的總體自主管理器 300’客端400包含一中央處理單元402、一區域儲存裝置404、 一使用者介面406、一網路介面408、以及一記憶體410。例 示客端400亦包含一區域自主管理裝置412。客端400之中央 處理單元402、使用者介面406和網路介面408實質上類似總 體自主管理器300的中央處理單元302、使用者介面306和網 路介面308。 一實施例中,記憶體410可供儲存一客端資源設定檔 414、一或更多客端預測政策416、一或更多客端啟動政策 418、一或更多客端調節政策420、以及一或更多客端終止政 策422。客端資源設定檔414可類似總體自主管理器300的系 統資源設定檔314。然而,客端資源設定檔414係供儲存一或In the example only, the overall slave module can be used to manage the system resource setting 4BM/04137TW -20· file 314. In one embodiment, the overall profile module 334 can track the available performance resources throughout the grid system 100. In a further embodiment, the overall profile module 334 can also track the use of available performance resources on the grid system 100. In addition, the overall set slot module 334 can be used to synchronize the system resource setting slot 314 with a similar profile on one or more of the clients 104-110. Figure 4 depicts an embodiment 400 of a client that can operate as a source client or a resource guest in a grid system. The overall autonomic manager 300' client 400 of FIG. 3 includes a central processing unit 402, a regional storage device 404, a user interface 406, a network interface 408, and a memory 410. The exemplary client 400 also includes an area autonomous management device 412. The central processing unit 402, user interface 406, and network interface 408 of the guest 400 are substantially similar to the central processing unit 302, user interface 306, and network interface 308 of the overall autonomic manager 300. In one embodiment, the memory 410 is operable to store a client resource profile 414, one or more client prediction policies 416, one or more client activation policies 418, one or more client policy policies 420, and One or more client termination policies 422. The guest resource profile 414 can be similar to the system resource profile 314 of the overall autonomous manager 300. However, the client resource profile 414 is for storage one or
4IBM/04137TW -21 - 1353525 更多參數,指示客端400用於網格系統10〇之特定性能資源。 舉例而言,客端可將頻寬、儲存、記憶體、處理器週期、輪入 /輸出裝置等等讓一網格應用裎式使用。 客端預測政策416、客端調節政策420、以及客端終止政 策422可分別類似總體自主管理器300上的系統預測政策 316、系統調節政策318、以及系統終止政策322。舉例而言,擊 客端預測政策416可包含一政策來要求總體自主管理裝置312 預期源自要求客端400之一網格應用程式,而保留網格性能資 源。 然而’就用於網格系統100之客端性能資源而論,這些客 端政桌416、420、422是客端400特有的。舉例而言,客端調 節政策420可包含根據源自客端400之網格作業量,調節客端 φ 性能資源之配置的政策。某一實施例中,若客端4〇〇啟動大量 網格系統作業’客端400會根據一客端調節政策420來配置額 外性能資源給網格系統100。 一實施例中,客端啟動政策416包含政策指示回應一給定 啟動觸發事件’客端400要採取什麼行動。舉例而言,客端啟4IBM/04137TW -21 - 1353525 More parameters indicating that the client 400 is used for the specific performance resources of the grid system. For example, the client can use a grid application for bandwidth, storage, memory, processor cycles, on/off devices, and the like. The client prediction policy 416, the guest adjustment policy 420, and the client termination policy 422 can be similar to the system prediction policy 316, the system adjustment policy 318, and the system termination policy 322, respectively, on the overall autonomic manager 300. For example, the client prediction policy 416 can include a policy to require the overall autonomous management device 312 to expect a grid application from one of the requesting clients 400 to retain grid performance resources. However, as far as the client performance resources of the grid system 100 are concerned, these client tables 416, 420, 422 are unique to the guest 400. For example, the client adjustment policy 420 can include policies that adjust the configuration of the client φ performance resources based on the amount of grid work originating from the client 400. In one embodiment, if the guest 4 starts a large number of grid system operations, the client 400 configures additional performance resources to the grid system 100 in accordance with a guest adjustment policy 420. In one embodiment, the client launch policy 416 includes a policy indication to respond to a given start trigger event 'what the client 400 is to take. For example, the client
4IBM/04137TW -22- 1353525 動政策416可包含當一網格應用程式被啟動時調節的政策。舉 例而& ’ 一各端啟動政策416可指明只有工作時段後、午餐時 段期間、各端處理器閒置一特定時間時等,才啟動網格應用程 式。 一實施例中,例示區域自主管理裝置412可供幫助網格系 統100上性源之自主控制。所描續區域自主管理裝置4丨2 鲁 包含一客端監視模組424、一客端政策模組426、一客端通知 (notification)模組428、以及一客端調節模組43〇。 實紅例中’客端監視模組424供監視客端4〇〇有無客端 預測、啟動、調郎、或终止政策416 .、418、420、422之一定 義的-觸發事件。-實施例中,客端政策模組426供容許一使 用者存取和定義客端預測、啟動、調節、或終止政策.118、# 420、422。-實施例中’客端通知模組428供通知總體自主管 理器300客端400上的有關活動’像是客端f源設賴414 之修改、-網格細程式之啟動、—網格應贿式之終止科。 貝鈀例中,客端調節模組430供回應一已辨識觸發事 件’並根據客端預測、啟動、調節、或終止政策4i6、418、 -23- 14IBM/04137TW -22- 1353525 Policy 416 may include policies that are adjusted when a grid application is launched. For example, the &' end-of-end policy 416 may indicate that the grid application is initiated only after a working period, during a lunch period, when each end processor is idle for a particular time, and the like. In one embodiment, the exemplary zone autonomous management device 412 is available to assist in the autonomous control of the source on the grid system 100. The continuous area autonomous management device 4 丨 2 includes a client monitoring module 424, a client policy module 426, a guest notification module 428, and a client adjustment module 43A. In the real red case, the 'client monitoring module 424 is used to monitor the client 4 to determine whether there is a client-side prediction, start, rev, or termination policy 416., 418, 420, 422. In an embodiment, the client policy module 426 is for allowing a user to access and define client prediction, launch, adjustment, or termination policies. 118, #420, 422. - In the embodiment, the 'client notification module 428 is used to notify the overall autonomic manager 300 about the activity on the client 400', such as the modification of the client f source set 414, the start of the grid program, the grid should Bribery termination section. In the Palladium Palladium case, the guest adjustment module 430 is responsive to an identified trigger event' and based on the client prediction, activation, adjustment, or termination policy 4i6, 418, -23- 1
旧 M/04137TW P53525 2’來自主地調節客端·上的性能資源。所描綠客端 調即換組430包含一客端配置模組432、一客端回收模_、 一客端啟動模組436、一客端終止模纽极、和一 模組440。 # •頁死例笮 414,_ 娜厕組432供根據客端資源設定檔 似配置-客祕能資源給網格系統⑽。如上所述,客端性 能貧源可為客端400讓網格系統作業可用之任何性能資源,包 存祕、客義寬、客穩驾、客麟存、客端記 憶體專4。-實施例中’以—類似方式,客端回收模組辦 供回收配置給網格系統卿之一客端性能資源。回收一客端性 能資源使網格系、统1〇〇不可用此資源。因此,總體自主管理裝 置312無法經由總體保留模組328保留—已回收客端性能資、 源。如此,區域自主管理裂置412可配置和回收網格系統1〇〇 上的性能魏,例如當客端沒有使用這樣的性能資源時。 一只把例中’客端啟動模組436供回應一啟動觸發事件以 及根據客端啟動政策418 ’来啟動網格系統丨⑻上之一網格應 用程式。類似地,一實施例中,客端終止模組438供回應一終 止觸發事件以及根據客端終止政策422,來終止客端4〇〇啟動 之一網格應用程式。The old M/04137TW P53525 2' comes from the performance resource of the main ground adjustment client. The illustrated green client switch 430 includes a guest configuration module 432, a guest recovery module _, a guest startup module 436, a guest termination mode button, and a module 440. # • Page dead example 414 414, _ Na toilet group 432 is provided for the configuration of the client resource - the secret resource to the grid system (10). As mentioned above, the guest performance poor source can be any performance resource that the guest 400 can make the grid system work available, including the storage secret, the customer sense width, the guest stability drive, the guest support, and the guest memory. In the embodiment, in a similar manner, the client recycling module manages the storage performance resource for one of the grid systems. Recycling a guest-side performance resource makes the grid system and system unavailable. Thus, the overall autonomic management device 312 cannot be retained via the overall reservation module 328 - the reclaimed guest performance resources, sources. As such, the regional autonomic management split 412 can configure and reclaim performance on the grid system, such as when the guest does not use such performance resources. In one example, the guest launch module 436 is configured to initiate a grid application on the grid system (8) in response to a start trigger event and in accordance with the guest launch policy 418'. Similarly, in one embodiment, the client termination module 438 terminates the client 4 to launch a grid application in response to a termination trigger event and in accordance with the client termination policy 422.
4IBM/04137TW •24- 一實施例中,客端設定檔模組440可供管理客端資源設定 檔414。一實施例中,客端設定檔模組440可追蹤已配置客端 性能資源。一進一步實施例中,客端設定檔模組440亦可追縱 已配置客端性能資源之使用。此外’客端設定檔模組44〇可供 使客端資源設定檔414與總體自主管理器300上的系統資源設 定檔314同步。 以下示意流程圖一般稱為邏輯流程圖。如此,所描繪順序 和被標示之步驟指示本程序之一實施例。可構想在功能、邏輯 或效應上均等的其他步驟和程序。此外,使用之格式和象徵 (symbology)係提供來解釋程序之邏輯步驟,且不被理解成 限制程序之範疇。同樣地,雖然流程圖中可能使用各種箭頭類 型和線的類型’它們不被理解成限制對應程序之範疇。的確, 某些箭頭或其他連結會只用以指示程序之邏輯流程。舉例而 吕,一箭頭可指示所描繪程序之列舉步驟間不特定持續期間的 一等待或監視期間。 圖五描繪一自主啟動方法之一實施例5〇〇,其可為客端 400上之區域自主管理裝置412所用。例示自主啟動方法5〇〇 開始502於客端400監視504 —啟動觸發事件。一實施例中,4IBM/04137TW • 24-- In one embodiment, the guest profile module 440 is available to manage the guest resource profile 414. In one embodiment, the guest profile module 440 can track the configured guest performance resources. In a further embodiment, the client profile module 440 can also track the use of configured guest performance resources. In addition, the client profile module 44 is operable to synchronize the client resource profile 414 with the system resource profile 314 on the overall autonomous manager 300. The schematic flow diagrams below are generally referred to as logic flow diagrams. Thus, the depicted order and labeled steps are indicative of one embodiment of the present. Other steps and procedures that are equivalent in function, logic or effect are conceivable. In addition, the format and symbology used are provided to explain the logical steps of the program and are not to be construed as limiting the scope of the program. Similarly, although various types of arrows and types of lines may be used in the flowcharts, they are not to be construed as limiting the scope of the corresponding program. Indeed, certain arrows or other links will only be used to indicate the logical flow of the program. By way of example, an arrow may indicate a waiting or monitoring period for an unspecified duration between enumerated steps of the depicted program. Figure 5 depicts an embodiment 5 of an autonomous boot method that can be used by the regional autonomous management device 412 on the guest 400. Illustrating the autonomous start method 5 〇〇 Start 502 monitors 504 at the guest 400 - initiates a trigger event. In an embodiment,
4IBM/04137TW -25- 1353525 客端400彳使用客端監視模级424來監視一啟動觸發事件。一 實施例中’啟動觸發事件係由客端啟動政策418之一定義。 自主啟動方法500繼續506以監視504 -啟動觸發事件, 直到客端400辨識出一已定義啟賴發事件 。客端400 接著啟動適當網格應用程式,如客端啟動政策418指示的。一 實施例中,客端400使用客端啟動模組436來啟動網格應用程φ 式,並經由客端通知模組428通知總體自主管理器3〇〇。客端 400接著在網格系統丨⑻上執行網格應用程式,直到網格應用 程式完成514。所描繪自主啟動方法5〇〇接著結束516。 圖六描繪一自主調節方法之一實施例6〇〇,其可為總體自 主官理器300上之總體自主管理裝置312或客端上之區域自主 管理裝置412所用。例示自主調節方法_和上述自主啟動方 φ 法500相同地開始6〇2。事實上,一實施例中,自主調節方法 600以和自主啟動方法5〇〇相同的步驟6〇4、6〇6、6〇8來啟動 610網格應用程式。 然而,當網格應用程式作業執行612於網格系統1〇〇上, 且在網格應用程式完成614前,自主調節方法6〇〇監視網格系4IBM/04137TW -25-1353525 The client 400 uses the guest monitoring mode 424 to monitor a start trigger event. In one embodiment, the 'start trigger event' is defined by one of the client launch policies 418. The autonomous boot method 500 continues 506 to monitor 504 - the trigger event is initiated until the client 400 recognizes a defined alert event. The client 400 then launches the appropriate grid application, as indicated by the guest launch policy 418. In one embodiment, the guest 400 uses the guest launch module 436 to launch the grid application φ and notify the overall autonomic manager 3 via the client notification module 428. The client 400 then executes the grid application on the grid system (8) until the grid application completes 514. The depicted autonomous boot method 5 then ends 516. Figure 6 depicts an embodiment 6 of an autonomous adjustment method that may be used by the overall autonomous management device 312 on the overall autonomous official 300 or the regional autonomous management device 412 on the client. The exemplary self-regulating method _ starts 6〇2 in the same manner as the above-described autonomous starting method φ method 500. In fact, in one embodiment, the autonomous adjustment method 600 starts the 610 grid application in the same steps 6〇4, 6〇6, 6〇8 as the autonomous startup method 5〇〇. However, when the grid application job executes 612 on the grid system 1 and before the grid application completes 614, the autonomous adjustment method 6 monitors the grid system
4 旧 M/04137TW •26- P53525 、·先100之一調卽觸發事件。一實施例中,客端4⑻可使用客端 監視模紕424來監視一調節觸發事件。一進一步實施例中,總 體自主管理器300可使用總體監視模組322來監視一調節觸發 事件。一實施例中,調節觸發事件由客端調節政策42〇之一定 義。另—種方式是,調節觸發事件可由系統調節政策318之一 定義。 若未辨識618出一調節觸發事件,網格應用程式繼續正常 地執行。然而,若辨識618出一調節觸發事件,自主調節方法 6〇〇根據對應客端調節政策42〇或系統調節政策318調節62〇 性能資源。-實施财’自蝴節方法_可藉為網格應用程 式保留額外性能資源,或藉終止現有性能資源保留,來調節 620性能資源。另一種方式是,自主調節方法_可藉配置或 回收客端性能資源,或甚至經由客端終止模組438終止網格應魯 用程式,來調節620性能資源。 網格系统100,繼續執行網格應用程式,經歷被調用 (invoked)自主調節,朗網格應用程式不是被客端彻就 疋〜胃自理$ 3〇〇終止’或直到網格應用程式完成614。 所描繪自主調節方法6〇〇接著結束622。4 Old M/04137TW • 26- P53525, · First 100 one of the trigger events. In one embodiment, the client 4 (8) can use the guest monitoring module 424 to monitor an adjustment trigger event. In a further embodiment, the overall autonomic manager 300 can use the overall monitoring module 322 to monitor an adjustment trigger event. In one embodiment, the adjustment trigger event is defined by the client adjustment policy 42. Alternatively, the adjustment trigger event can be defined by one of the system adjustment policies 318. If an adjustment trigger event is not recognized 618, the grid application continues to execute normally. However, if the identification trigger event is identified 618, the autonomous adjustment method 6 adjusts the 62〇 performance resource according to the corresponding guest adjustment policy 42 or the system adjustment policy 318. - Implementing the self-study method _ can reserve additional performance resources for the grid application, or adjust the 620 performance resources by terminating the existing performance resource reservation. Alternatively, the autonomous adjustment method can be used to adjust 620 performance resources by configuring or reclaiming guest performance resources, or even terminating the grid application through the client termination module 438. Grid system 100, continue to execute the grid application, undergoes autonomous adjustment by invoked (invoked), the Lang grid application is not completely hacked by the client ~ stomach self-care $ 3 〇〇 termination ' or until the grid application is completed 614 . The depicted autonomous adjustment method 6〇〇 then ends 622.
4IBM/04137TW -27- 1353525 圖七描繪一自主預測方法之一實施例700,其可為總體自 主管理器300上之總體自主管理裝置312或客端上之區域自主 官珲裝置412所用。一實施例中,自主預測方法7〇〇在一網袼 應用程式啟動鈿被調用。一進一步實施例中,自主預測方法 700可在辨識508、608 —啟動觸發事件前被調用,如參照圖 五和六所述。 例示自主預測方法700開始7〇2於監視7〇4 一預測觸發事 件。一實施例中,客端400可使用客端監視模組424來監視一 賴觸發事件。一進—步實施例中,總體自主管理器3〇〇可使 用總體監視模、组322來監視一預測觸發事件。—實施例中,預 測觸發事件由客端預測政策416之一定義。另—種方式是,預 測觸發事件可由系統預測政策316之一定義。 自主預測方法700繼續7〇6監視一預測觸發事件直 到客端400辨識·出一已定義預測觸發事件。客端撕接著 調節爪客端彻或網格系統應之性能資源,如分別由 預測政策416或系統預測政策316指示。-實施例中,自 測方法7⑻獨柄格翻程絲_外性能資源,或藉終止 現有性能#源保留,來調節710性能資源。另—種方式是,自4IBM/04137TW -27- 1353525 FIG. 7 depicts an embodiment 700 of an autonomous prediction method that may be used by the overall autonomous management device 312 on the overall autonomous manager 300 or the regional autonomous bureaucracy 412 on the client. In one embodiment, the autonomous prediction method 7 is invoked after a network application is launched. In a further embodiment, the autonomous prediction method 700 can be invoked prior to identifying 508, 608 - initiating a triggering event, as described with reference to Figures 5 and 6. The exemplary autonomous prediction method 700 begins with a monitoring of 7〇4 a prediction trigger event. In one embodiment, the guest 400 can use the guest monitoring module 424 to monitor for a triggering event. In an advanced embodiment, the overall autonomic manager 3 can use the overall monitoring mode, group 322 to monitor a predicted triggering event. - In an embodiment, the predicted triggering event is defined by one of the client prediction policies 416. Alternatively, the predicted triggering event can be defined by one of the system prediction policies 316. The autonomous prediction method 700 continues to monitor a predicted trigger event until the client 400 recognizes a defined predicted trigger event. The client tears down to adjust the performance of the claws or the grid system, as indicated by the prediction policy 416 or the system prediction policy 316, respectively. In the embodiment, the self-test method 7(8) is used to adjust the 710 performance resource by simply resolving the existing performance #source reservation. Another way is
4IBM/04137TW 1353525 主預測方法700可分別經由客端配置模組432和客端回收模组 434 ’配置或回收客端性能資源,來調節710性能資源。此外, 客端400可經由客端通知模組428,來通知總體自主管理器3〇〇 性能貧源配置與客端資源設定檔4丨4之改變。所描繪自主預測 方法700接著結束。 如剷面方法500、600、700之一範例,總體自主管理器 3〇〇可監視峨運算祕漏上之網格應雜式的性能。當監 視網格之性能’若整體性能開始變慢,總體調節模組326可調 用系統調節政策318來增加配置給網格·程式之性能資源 量。 舉例而言,一電影工作室可執行一蚊曰期到期的一演出 Rendering)销。麵上期限,企触喊業駐管可能決 疋增加網格系統働可用之客端性能資源。一實施例中 f格應用程式增加性能資源會減少網㈣統腦上其他客端 擗 f此貝源。如此,調節政策318定義回應 ^貝源之要求^採取的行動。此外,總體自主管理裝置 以起上j自主官理器删和客端4GG管理網格應用程式, 種實施例中,根據定義企劃限制與期限 即政来318 ’增加性能資源之要求可自主地發生。4IBM/04137TW 1353525 The primary prediction method 700 can adjust or reserve 710 performance resources via the guest configuration module 432 and the guest recovery module 434' to configure or recycle the guest performance resources, respectively. In addition, the client 400 can notify the overall autonomous manager 3 of the performance poor source configuration and the client resource profile 4丨4 via the client notification module 428. The depicted autonomous prediction method 700 then ends. As an example of the scooping method 500, 600, 700, the overall autonomic manager can monitor the performance of the grid on the leak. When monitoring the performance of the grid, the overall adjustment module 326 can adjust the system adjustment policy 318 to increase the amount of performance resources allocated to the grid/program if the overall performance begins to slow down. For example, a movie studio can perform a show rendering of a mosquito expiration date. On the face of the deadline, the squad of the industry may decide to increase the available guest performance resources of the grid system. In one embodiment, the application of the f-grid application increases the performance resources of the network (four) and other clients on the brain. Thus, the adjustment policy 318 defines the response to the request of the source. In addition, the overall autonomous management device is used to delete the client and the 4GG management grid application. In an embodiment, the requirements for increasing the performance resources can be autonomously generated according to the definition of the planning restriction and the deadline. .
4 旧 M/04137TW •29· 1353525 另一實施例中,可定義一高階調節政策318來基於網格系 統綱整體性能,改變網格系統刚和客端可用之性能資 源。舉例而言’使用同樣上述演出範例,一調節政策318可容 許客端4GG動態地回收客端性能資源,假如演出網格應用程式 目前不使用已配置客端性能資源。類似地,當它們被要求執行 額外演出罐應雜式作鱗,已畔客離能龍可被重新 配置給演出網格應用程式。此為動態調節政策318之一實施 例。 許多其他自主預測、啟動、調節、終止、和仲裁政策可使 用於種種網格系統100和應用程式環境中。舉例而言政策可 定義-開/關控制。另-實施例中’政策可定義一比例 (proportional)控制。亦即,若需求增加或減少,可依需求比 例配置或回收資源。另-實施例中,減所需之—步驟改變, 可時間延遲(delay)或相位(phase)政策。舉例而言,可在 某段時間帽漸龜置或回收性崎源’朗制適當程度或 資源可用性以及配置。 關於預測政策,總體自主管理器·可收集和使用歷史或 其他資訊’來預測-特定負載、資源可用性、資源配置等等何4 Old M/04137TW • 29· 1353525 In another embodiment, a high-order adjustment policy 318 can be defined to change the performance resources available to the grid system just before the guest based on the overall performance of the grid system. For example, using the same performance example above, an adjustment policy 318 may allow the guest 4GG to dynamically reclaim the guest performance resources, provided that the show grid application does not currently use the configured guest performance resources. Similarly, when they are required to perform additional performance cans, they can be reconfigured to the show grid application. This is an example of a dynamic adjustment policy 318. Many other autonomous predictive, initiating, regulating, terminating, and arbitration policies can be used in a variety of grid systems 100 and application environments. For example, the policy can be defined - on/off control. In another embodiment, the policy may define a proportional control. That is, if demand increases or decreases, resources can be configured or recycled according to demand. In another embodiment, the required step-change, time delay (delay) or phase policy. For example, the degree of suitability or resource availability and configuration can be tailored to a certain period of time. Regarding forecasting policies, the overall autonomic manager can collect and use history or other information to predict - specific load, resource availability, resource allocation, etc.
4IBM/04137TW -30· 時了能需要改變。舉例而言,—客端·上的區域處理負载可 在母天某一時刻,不利地影響網格系統卿上的性能資源可用 性。1測政策容許總體自主管理器和客端養預期一典 型貧源使用’而测地赃網格應雜式·可祕。此可包 含延遲網格朗財或使罐躺減執行觀正常快。詳細 的預測、啟動、調節、終止、和仲裁政策不限於任何特定政策、 控制演算法等等。 實粑例中’在總體自主管理器300或客端400的政策之 改變可連結至-訂用(subscripticm)管理器212。一實施例中, 訂用管理器212可依服務之改變調整費用。另一實施例中,訂 用官理器212可避免政策中特定或總體改變。舉例而言,一公 司可能s了用-網格系統觸,並選擇貢獻某程度的性能資源。 向此公司收的費用可和網格應用程式需求程度以及所貢獻性 能資源程度成_ L某個上及/或下定限(thresh〇ld)可 為固定,對應於特定金融或其他商業準則。一進一步實施例 中,訂用官理器2Π可根據這些定限,阻擋一或更多政策中的 可能改變。 進一步關於訂用官理器212, 一實施例中,訂用管理器2124IBM/04137TW -30· Time can change. For example, the area processing load on the client can adversely affect the performance resource availability on the grid system at some point in the mother's day. The 1 test policy allows the overall autonomous manager and the client to raise the expectation of a typical poor source. The geodetic grid should be miscellaneous and secret. This can include delaying the grid or making the tank lie less effective. Detailed forecasting, initiation, adjustment, termination, and arbitration policies are not limited to any specific policies, control algorithms, and so on. In the example, the policy change in the overall autonomic manager 300 or the client 400 can be linked to the subscripticm manager 212. In one embodiment, the subscription manager 212 can adjust the fee based on changes in service. In another embodiment, the subscription official 212 can avoid specific or overall changes in the policy. For example, a company may have used a grid system to touch and choose to contribute a certain level of performance resources. The fees charged to the company can be fixed to the upper and/or lower limit (thresh〇ld) of the grid application requirements and the level of performance resources contributed, corresponding to specific financial or other business criteria. In a further embodiment, the subscription official 2 can block possible changes in one or more policies based on these limits. Further to the subscription ruler 212, in an embodiment, the subscription manager 212
4IBM/04137TW •31 - 1353525 係一裝置供管理決定使用者費用過程中收集、使用或產生之資 訊’控制服務程度’控制服務使用’控制性能資源貢獻等等, 以上服務性月匕貝源係給一網格應用程式、來自或給予一客 戶、公司等等者。 . m 一實施例中,訂用管理器212可為至少兩個目的服務。第 一,其可基於使用者對網格資源之使用及/或使用者對網格貢鲁 獻之性旎資源,決定對一使用者收取之使用費。第二訂用管 理器212可控制對網格系統励和網格資源之存取、使用、使 用程度等等。訂用管理ϋ 212亦可基於文中所述自主政策,控 制給網格系統100之客端性能資源之配置、貢獻程度等等。 為了官理不同客端400對網格系統100之訂用,訂用管理 益犯可創造和儲存一客端設定檔、一總體設定檔、和一客彳春 设定檔。-實施例中,訂用管理器212之總體設定檔可含有關 於性此貝源配置及使用之資訊,以為—特定客戶決定使用費。 實知例中’ 5丁用官理$ 212之總體設定檔對所有使用網格系 ., 統100之性能資源和客端4〇〇 *言為通用的(㈣如)。 一貫施例中’客戶設定槽含有關聯總體設定檔至特定客戶4IBM/04137TW • 31 - 1353525 is a device for managing the information collected, used or generated during the process of determining user fees. 'Control service level' control service use 'control performance resource contribution, etc., the above service month A grid application, from or to a customer, company, etc. In an embodiment, the subscription manager 212 can serve at least two purposes. First, it can determine the usage fee charged to a user based on the user's use of the grid resources and/or the user's resource for the grid. The second subscription manager 212 can control access to, use, usage, etc. of the grid system and grid resources. The subscription management module 212 can also control the configuration, contribution level, etc. of the guest performance resources to the grid system 100 based on the autonomy policies described herein. In order to customize the subscription of the different client 400 to the grid system 100, the subscription management utility can create and store a client profile, an overall profile, and a guest profile. In an embodiment, the overall profile of the subscription manager 212 may contain information about the configuration and use of the source, such that the particular customer determines the usage fee. In the example, the overall configuration of the $5 is used for all the grid systems, and the performance resources of the system 100 and the client 4 are universal ((4)). In the usual example, the customer setting slot contains the associated overall profile to a specific customer.
4IBM/04137TW -32- 1353525 的資訊。客戶設定檔可聚合(aggregate)關於一特定客戶之資 訊’包含關於客戶性能資源配置和區域調用網格應用程式之資 訊°客戶設定檔可用以決定向一客戶收取的整體費用。類似 地’一實施例中,訂用管理器212中的客戶設定檔可含有對應 一特定客端400之類似資訊。, —實施例中’訂用管理器212基於客端為一網格應用程式 肇 對網格系統1〇〇之瞬間、平均、最大、最小、所計劃、所保留、 尖峰等等之一或更多使用’決定使用費。另一實施例中,訂用 管理器212可追蹤一客端400給網格系統1〇〇之客端性能資源 配置。訂用管理器212可追蹤貢獻程度之瞬間、平均、最大、 最小、所計劃、所保留、尖峰等等之一或更多。一進一步實施 例中,訂用管理器212追蹤上列因素之一或更多之一結合。 另一實施例中’訂用管理器212可監視和控制一總體自主 管理器300或客端400對一自主政策之執行。舉例而言,一公 司可5丁用一網格糸統100供一備份檢索(re的eve)網格應用程 式用。為使成本降低’公司可能決定從每—連接客端4〇〇貢獻 性能資源給網格系統100。若一使用者決定回收一特定客端之 已配置性能貢源’並減少其貝獻至零,訂用管理器212可能改Information on 4IBM/04137TW -32- 1353525. The customer profile can aggregate information about a particular customer's information about the customer performance resource configuration and the regional call grid application. The customer profile can be used to determine the overall fee charged to a customer. Similarly, in an embodiment, the customer profile in the subscription manager 212 may contain similar information corresponding to a particular client 400. In the embodiment, the subscription manager 212 is based on the client as a grid application, one of the instant, average, maximum, minimum, planned, reserved, spike, etc. of the grid system. Use more to determine the usage fee. In another embodiment, the subscription manager 212 can track the guest performance resource configuration of a guest 400 to the grid system. The subscription manager 212 can track one or more of the instant, average, maximum, minimum, planned, reserved, spike, etc. of the contribution level. In a further embodiment, the subscription manager 212 tracks one or more of the listed factors in combination. In another embodiment, the subscription manager 212 can monitor and control the execution of an autonomy policy by an overall autonomic manager 300 or client 400. For example, a company can use a grid system 100 for a backup retrieval (re eve) grid application. To reduce costs, the company may decide to contribute performance resources to the grid system 100 from each of the connected clients. If a user decides to reclaim a configured performance tribute for a particular client and reduces its contribution to zero, the subscription manager 212 may change
4IBM/04137TW -33- 變客端设疋樓及客戶設定檔,以決定適當費用。根據訂用管理 器212之總體設定檔,網格系統1〇〇之總體自主管理器3〇〇 可為性能資源配置維持上和下定限’藉此避免所有已配置資源 這樣的回收。 另一實施例中,訂用管理器212可控制一客端4〇〇或一總 體自主管理器300要求之一政策改變。訂用管理器Μ)之客戶 設定檔可避免資源配置或客端4〇〇之網格應用程式使用的某 些改變。舉例而言,客端設定檔可對一客戶在一預定帳單 (biUing) 費用有一限制。若已超過這些^ 制,訂用管理器212可阻擋一客端4〇〇某些使用。 本發明可以其卿式實施’科雜其精神或本質特性〇 所述實施例欲在所有面向被視為例*而非限制。因此,本發明 之範脅係由所崎求項_前述朗指示。落在請求項之^義 與均等範圍内的所有改變應包含於其範疇中。 【圖式簡單說明】 了解這 為了使本發明之優點易於了解,會參照所附圖式例示之特 定實施例’提出以上簡短說明之此發明的更具體說明4IBM/04137TW -33- Change the client terminal and customer profile to determine the appropriate fee. Based on the overall profile of the subscription manager 212, the overall autonomic manager 3 of the grid system can maintain upper and lower limits for performance resource configuration' thereby avoiding such recycling of all configured resources. In another embodiment, the subscription manager 212 can control a client 4 or an overall autonomic manager 300 to request a policy change. The subscription manager Μ) client profile avoids some changes in resource configuration or client-side grid applications. For example, a client profile can have a limit on a customer's billing (biUing) fee. If these rules have been exceeded, the subscription manager 212 can block certain uses of a client terminal. The present invention may be embodied in the spirit of the invention or the nature of the invention. Therefore, the scope of the present invention is indicated by the above-mentioned item _ aforementioned. All changes that fall within the meaning and scope of the claim should be included in its scope. BRIEF DESCRIPTION OF THE DRAWINGS In order to make the advantages of the present invention easy to understand, a more detailed description of the invention will be briefly described with reference to the specific embodiments illustrated in the accompanying drawings.
4IBM/04137TW -34- 1353525 些圖式只描繪此發明之典型實施例,因此並不視為其範疇之限 制,此發明會透過使用所附圖式,以更多具體性和細節來說明 和解釋,其中: 圖一係一示意方塊圖’例示根據本發明一網格系統之一實 施例; 圖二係一示意方塊圖’例示根據本發明一網格系統之另一 實施例; 籲 圖三係一示意方塊圖,例示根據本發明一總體自主管理器 之一實施例; 圖四係一示意方塊圖,例示根據本發明一客端之一實施 例; 圖五係一示意流程圖’例示根據本發明一刺激回應方法之 一實施例; 圖六係一示意流程圖,例示根據本發明一自主調節方法之 鲁 一實施例,以及 圖七係一示意流程圖’例示根據本發明一自主預測方法之 一實施例。4 IBM/04137TW -34- 1353525 The drawings are merely illustrative of typical embodiments of the invention and are therefore not to be considered as limiting the scope of the invention. 1 is a schematic block diagram illustrating one embodiment of a grid system in accordance with the present invention; FIG. 2 is a schematic block diagram illustrating another embodiment of a grid system in accordance with the present invention; 1 is a schematic block diagram illustrating an embodiment of a general autonomous manager in accordance with the present invention; FIG. 4 is a schematic block diagram illustrating an embodiment of a guest terminal in accordance with the present invention; 1 is a schematic flow chart illustrating an embodiment of an autonomous adjustment method according to the present invention, and a schematic flow chart of FIG. 7 exemplifying an autonomous prediction method according to the present invention. An embodiment.
4IBM/04137TW -35- 1353525 【主要元件符號說明】 100網格系統 104-110 客端 200網格系統 204網路系統 208客端 212訂用管理器 300總體自主管理器 304區域儲存裝置 308網路介面 312總體自主管理裝置 316系統預測政策 320系統終止政策 322總體監視模組 326總體調節模組 330總體終止模組 334總體設定檔模組 400客端 404區域儲存裝置 408網路介面 102網格伺服器 112通訊通道 202網際網路 206網路系統 210客端 302中央處理單元 306使用者介面 310記憶體 314系統資源設定檔 318系統調節政策 321系統仲裁政策 324總體政策模組 328總體保留模組 332總體仲裁模組 402中央處理單元 406使用者介面 410記憶體4IBM/04137TW -35- 1353525 [Main component symbol description] 100 grid system 104-110 guest 200 grid system 204 network system 208 client 212 subscription manager 300 overall autonomous manager 304 area storage device 308 network Interface 312 overall autonomous management device 316 system prediction policy 320 system termination policy 322 overall monitoring module 326 overall adjustment module 330 overall termination module 334 overall profile module 400 client 404 region storage device 408 network interface 102 grid servo 112 communication channel 202 internet 206 network system 210 client 302 central processing unit 306 user interface 310 memory 314 system resource configuration file 318 system adjustment policy 321 system arbitration policy 324 overall policy module 328 overall retention module 332 The overall arbitration module 402 central processing unit 406 user interface 410 memory
4IBM/04137TW -36- 1353525 412區域自主管理裝置 416客端預測政策 420客端調節政策 424客端監視模組 428客端通知模組 432客端配置模組 436客端啟動模組 440客端設定檔模組 414客端資源設定檔 418客端啟動政策 422客端終止政策 426客端政策模組 430客端調節模組 434客端回收模組 438客端終止模組4IBM/04137TW -36- 1353525 412 regional self-management device 416 client prediction policy 420 client adjustment policy 424 client monitoring module 428 client notification module 432 client configuration module 436 client startup module 440 client setting File module 414 client resource configuration file 418 client activation policy 422 client termination policy 426 client policy module 430 client adjustment module 434 client recovery module 438 client termination module
4 旧 M/04137TW -37-4 old M/04137TW -37-
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Families Citing this family (680)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA2435655A1 (en) * | 2003-07-21 | 2005-01-21 | Symbium Corporation | Embedded system administration |
US20050273511A1 (en) * | 2004-06-08 | 2005-12-08 | Hewlett-Packard Development Company, L.P. | Equitable resource sharing in grid-based computing environments |
US7793259B2 (en) * | 2005-03-02 | 2010-09-07 | Microsoft Corporation | System and method for managing user interaction data in a networked environment |
CA2504333A1 (en) * | 2005-04-15 | 2006-10-15 | Symbium Corporation | Programming and development infrastructure for an autonomic element |
US8086707B2 (en) * | 2005-06-30 | 2011-12-27 | Intel Corporation | Systems and methods for grid agent management |
US7636819B2 (en) * | 2005-08-23 | 2009-12-22 | Advanced Micro Devices, Inc. | Method for proactive synchronization within a computer system |
US11474903B1 (en) | 2005-09-30 | 2022-10-18 | Pure Storage, Inc. | Rebuilding of encoded data slices using locally decodable code segments |
US10747616B2 (en) | 2015-03-31 | 2020-08-18 | Pure Storage, Inc. | Adapting rebuilding of encoded data slices in a dispersed storage network |
US10938418B2 (en) | 2005-09-30 | 2021-03-02 | Pure Storage, Inc. | Online disk replacement/removal |
US11221917B1 (en) | 2005-09-30 | 2022-01-11 | Pure Storage, Inc. | Integrity processing in a dispersed storage network |
US11909418B1 (en) | 2005-09-30 | 2024-02-20 | Pure Storage, Inc. | Access authentication in a dispersed storage network |
US11416339B1 (en) | 2005-09-30 | 2022-08-16 | Pure Storage, Inc. | Validating requests based on stored vault information |
US9063881B2 (en) | 2010-04-26 | 2015-06-23 | Cleversafe, Inc. | Slice retrieval in accordance with an access sequence in a dispersed storage network |
US11080138B1 (en) | 2010-04-26 | 2021-08-03 | Pure Storage, Inc. | Storing integrity information in a vast storage system |
US11841770B2 (en) | 2005-09-30 | 2023-12-12 | Pure Storage, Inc. | Storage unit connection security in a storage network and methods for use therewith |
US8357048B2 (en) * | 2009-09-29 | 2013-01-22 | Cleversafe, Inc. | Interactive gaming utilizing a dispersed storage network |
US11272009B1 (en) | 2005-09-30 | 2022-03-08 | Pure Storage, Inc. | Managed data slice maintenance in a distributed storage system |
US8352782B2 (en) * | 2005-09-30 | 2013-01-08 | Cleversafe, Inc. | Range based rebuilder for use with a dispersed data storage network |
US9996413B2 (en) * | 2007-10-09 | 2018-06-12 | International Business Machines Corporation | Ensuring data integrity on a dispersed storage grid |
US7904475B2 (en) * | 2007-10-09 | 2011-03-08 | Cleversafe, Inc. | Virtualized data storage vaults on a dispersed data storage network |
US10169229B2 (en) | 2012-06-05 | 2019-01-01 | International Business Machines Corporation | Protocols for expanding existing sites in a dispersed storage network |
US9027080B2 (en) | 2008-03-31 | 2015-05-05 | Cleversafe, Inc. | Proxy access to a dispersed storage network |
US11327674B2 (en) | 2012-06-05 | 2022-05-10 | Pure Storage, Inc. | Storage vault tiering and data migration in a distributed storage network |
US10257276B2 (en) | 2005-09-30 | 2019-04-09 | International Business Machines Corporation | Predictive rebalancing according to future usage expectations |
US7953937B2 (en) * | 2005-09-30 | 2011-05-31 | Cleversafe, Inc. | Systems, methods, and apparatus for subdividing data for storage in a dispersed data storage grid |
US10051057B2 (en) | 2005-09-30 | 2018-08-14 | International Business Machines Corporation | Prioritizing read locations based on an error history |
US9774684B2 (en) | 2005-09-30 | 2017-09-26 | International Business Machines Corporation | Storing data in a dispersed storage network |
US9632722B2 (en) | 2010-05-19 | 2017-04-25 | International Business Machines Corporation | Balancing storage unit utilization within a dispersed storage network |
US8171101B2 (en) * | 2005-09-30 | 2012-05-01 | Cleversafe, Inc. | Smart access to a dispersed data storage network |
US10282440B2 (en) | 2015-03-31 | 2019-05-07 | International Business Machines Corporation | Prioritizing rebuilding of encoded data slices |
US9632872B2 (en) | 2012-06-05 | 2017-04-25 | International Business Machines Corporation | Reprioritizing pending dispersed storage network requests |
US7574570B2 (en) * | 2005-09-30 | 2009-08-11 | Cleversafe Inc | Billing system for information dispersal system |
US8209363B2 (en) | 2007-10-09 | 2012-06-26 | Cleversafe, Inc. | File system adapted for use with a dispersed data storage network |
US10860424B1 (en) | 2005-09-30 | 2020-12-08 | Pure Storage, Inc. | Background verification processing in a storage network |
US11620185B2 (en) | 2005-09-30 | 2023-04-04 | Pure Storage, Inc. | Integrity processing in a dispersed storage network |
US10270858B2 (en) | 2005-09-30 | 2019-04-23 | International Business Machines Corporation | Inducing memory device idle time through rolling read prioritizations |
US7574579B2 (en) * | 2005-09-30 | 2009-08-11 | Cleversafe, Inc. | Metadata management system for an information dispersed storage system |
US10389814B2 (en) | 2005-09-30 | 2019-08-20 | Pure Storage, Inc. | Prioritizing memory devices to replace based on namespace health |
US10044807B2 (en) | 2005-09-30 | 2018-08-07 | International Business Machines Corporation | Optimistic checked writes |
US10250686B2 (en) | 2005-09-30 | 2019-04-02 | International Business Machines Corporation | Finding alternate storage locations to support failing disk migration |
US10866754B2 (en) | 2010-04-26 | 2020-12-15 | Pure Storage, Inc. | Content archiving in a distributed storage network |
US11340988B2 (en) | 2005-09-30 | 2022-05-24 | Pure Storage, Inc. | Generating integrity information in a vast storage system |
US8938591B2 (en) * | 2005-09-30 | 2015-01-20 | Cleversafe, Inc. | Dispersed storage processing unit and methods with data aggregation for use in a dispersed storage system |
US8555109B2 (en) * | 2009-07-30 | 2013-10-08 | Cleversafe, Inc. | Method and apparatus for distributed storage integrity processing |
US8595435B2 (en) * | 2009-07-30 | 2013-11-26 | Cleversafe, Inc. | Dispersed storage write process |
US8694668B2 (en) * | 2005-09-30 | 2014-04-08 | Cleversafe, Inc. | Streaming media software interface to a dispersed data storage network |
US10855769B2 (en) | 2005-09-30 | 2020-12-01 | Pure Storage, Inc. | Prioritizing memory devices to replace based on namespace health |
US10356177B2 (en) | 2005-09-30 | 2019-07-16 | International Business Machines Corporation | Prioritizing ranges to rebuild based on namespace health |
US10432726B2 (en) | 2005-09-30 | 2019-10-01 | Pure Storage, Inc. | Last-resort operations to save at-risk-data |
US10154034B2 (en) | 2010-04-26 | 2018-12-11 | International Business Machines Corporation | Cooperative data access request authorization in a dispersed storage network |
US8880799B2 (en) * | 2005-09-30 | 2014-11-04 | Cleversafe, Inc. | Rebuilding data on a dispersed storage network |
US20070101000A1 (en) * | 2005-11-01 | 2007-05-03 | Childress Rhonda L | Method and apparatus for capacity planning and resourse availability notification on a hosted grid |
US8012542B2 (en) * | 2005-12-30 | 2011-09-06 | E.I. Du Pont De Nemours And Company | Fluoropolymer coating compositions containing adhesive polymers and substrate coating process |
US8903968B2 (en) * | 2006-08-29 | 2014-12-02 | International Business Machines Corporation | Distributed computing environment |
US20080059553A1 (en) * | 2006-08-29 | 2008-03-06 | Dawson Christopher J | Application structure for supporting partial functionality in a distributed computing infrastructure |
US20080071804A1 (en) * | 2006-09-15 | 2008-03-20 | International Business Machines Corporation | File system access control between multiple clusters |
CN100413265C (en) * | 2006-09-27 | 2008-08-20 | 北京航空航天大学 | Method for managing network resource |
WO2008041302A1 (en) * | 2006-09-29 | 2008-04-10 | Fujitsu Limited | Server disposing program and server disposing method |
JP4992408B2 (en) * | 2006-12-19 | 2012-08-08 | 富士通株式会社 | Job allocation program, method and apparatus |
JP4982216B2 (en) * | 2007-03-14 | 2012-07-25 | 株式会社日立製作所 | Policy creation support method, policy creation support system, and program |
US8266287B2 (en) | 2007-06-12 | 2012-09-11 | International Business Machines Corporation | Managing computer resources in a distributed computing system |
US8166138B2 (en) * | 2007-06-29 | 2012-04-24 | Apple Inc. | Network evaluation grid techniques |
US10027478B2 (en) | 2007-10-09 | 2018-07-17 | International Business Machines Corporation | Differential key backup |
US8478865B2 (en) * | 2007-10-09 | 2013-07-02 | Cleversafe, Inc. | Systems, methods, and apparatus for matching a connection request with a network interface adapted for use with a dispersed data storage network |
US9888076B2 (en) | 2007-10-09 | 2018-02-06 | International Business Machines Corporation | Encoded data slice caching in a distributed storage network |
US8533256B2 (en) * | 2007-10-09 | 2013-09-10 | Cleversafe, Inc. | Object interface to a dispersed data storage network |
US8572429B2 (en) * | 2007-10-09 | 2013-10-29 | Cleversafe, Inc. | Optimistic data writing in a dispersed storage network |
US9959076B2 (en) | 2007-10-09 | 2018-05-01 | International Business Machines Corporation | Optimized disk load distribution |
US9697171B2 (en) | 2007-10-09 | 2017-07-04 | Internaitonal Business Machines Corporation | Multi-writer revision synchronization in a dispersed storage network |
US8965956B2 (en) | 2007-10-09 | 2015-02-24 | Cleversafe, Inc. | Integrated client for use with a dispersed data storage network |
US8549351B2 (en) * | 2007-10-09 | 2013-10-01 | Cleversafe, Inc. | Pessimistic data reading in a dispersed storage network |
US8185614B2 (en) * | 2007-10-09 | 2012-05-22 | Cleversafe, Inc. | Systems, methods, and apparatus for identifying accessible dispersed digital storage vaults utilizing a centralized registry |
US8819179B2 (en) | 2007-10-09 | 2014-08-26 | Cleversafe, Inc. | Data revision synchronization in a dispersed storage network |
US20090158276A1 (en) * | 2007-12-12 | 2009-06-18 | Eric Lawrence Barsness | Dynamic distribution of nodes on a multi-node computer system |
US8010676B1 (en) * | 2008-01-03 | 2011-08-30 | Desktonc, Inc. | Virtual computing services deployment network |
US9501355B2 (en) | 2008-03-31 | 2016-11-22 | International Business Machines Corporation | Storing data and directory information in a distributed storage network |
US8630987B2 (en) * | 2008-07-16 | 2014-01-14 | Cleversafe, Inc. | System and method for accessing a data object stored in a distributed storage network |
US8819011B2 (en) | 2008-07-16 | 2014-08-26 | Cleversafe, Inc. | Command line interpreter for accessing a data object stored in a distributed storage network |
US9483656B2 (en) | 2009-04-20 | 2016-11-01 | International Business Machines Corporation | Efficient and secure data storage utilizing a dispersed data storage system |
US11868498B1 (en) | 2009-04-20 | 2024-01-09 | Pure Storage, Inc. | Storage integrity processing in a storage network |
US8656187B2 (en) * | 2009-04-20 | 2014-02-18 | Cleversafe, Inc. | Dispersed storage secure data decoding |
US8744071B2 (en) * | 2009-04-20 | 2014-06-03 | Cleversafe, Inc. | Dispersed data storage system data encryption and encoding |
US10447474B2 (en) * | 2009-04-20 | 2019-10-15 | Pure Storage, Inc. | Dispersed data storage system data decoding and decryption |
US8819781B2 (en) * | 2009-04-20 | 2014-08-26 | Cleversafe, Inc. | Management of network devices within a dispersed data storage network |
US9092294B2 (en) * | 2009-04-20 | 2015-07-28 | Cleversafe, Inc. | Systems, apparatus, and methods for utilizing a reachability set to manage a network upgrade |
US10104045B2 (en) | 2009-04-20 | 2018-10-16 | International Business Machines Corporation | Verifying data security in a dispersed storage network |
US8601259B2 (en) * | 2009-04-20 | 2013-12-03 | Cleversafe, Inc. | Securing data in a dispersed storage network using security sentinel value |
US8504847B2 (en) * | 2009-04-20 | 2013-08-06 | Cleversafe, Inc. | Securing data in a dispersed storage network using shared secret slices |
US10230692B2 (en) * | 2009-06-30 | 2019-03-12 | International Business Machines Corporation | Distributed storage processing module |
US10108492B2 (en) | 2009-07-30 | 2018-10-23 | International Business Machines Corporation | Rebuilding data stored in a dispersed storage network |
US8560798B2 (en) * | 2009-07-30 | 2013-10-15 | Cleversafe, Inc. | Dispersed storage network virtual address space |
US9208025B2 (en) | 2009-07-30 | 2015-12-08 | Cleversafe, Inc. | Virtual memory mapping in a dispersed storage network |
US9009575B2 (en) | 2009-07-30 | 2015-04-14 | Cleversafe, Inc. | Rebuilding a data revision in a dispersed storage network |
US8706980B2 (en) * | 2009-07-30 | 2014-04-22 | Cleversafe, Inc. | Method and apparatus for slice partial rebuilding in a dispersed storage network |
US9207870B2 (en) | 2009-07-30 | 2015-12-08 | Cleversafe, Inc. | Allocating storage units in a dispersed storage network |
US8489915B2 (en) * | 2009-07-30 | 2013-07-16 | Cleversafe, Inc. | Method and apparatus for storage integrity processing based on error types in a dispersed storage network |
US9558059B2 (en) | 2009-07-30 | 2017-01-31 | International Business Machines Corporation | Detecting data requiring rebuilding in a dispersed storage network |
US8448016B2 (en) * | 2009-07-31 | 2013-05-21 | Cleversafe, Inc. | Computing core application access utilizing dispersed storage |
US9167277B2 (en) * | 2009-08-03 | 2015-10-20 | Cleversafe, Inc. | Dispersed storage network data manipulation |
US8560855B2 (en) | 2009-08-27 | 2013-10-15 | Cleversafe, Inc. | Verification of dispersed storage network access control information |
US9411810B2 (en) | 2009-08-27 | 2016-08-09 | International Business Machines Corporation | Method and apparatus for identifying data inconsistency in a dispersed storage network |
US8949695B2 (en) * | 2009-08-27 | 2015-02-03 | Cleversafe, Inc. | Method and apparatus for nested dispersed storage |
US8918534B2 (en) | 2009-09-29 | 2014-12-23 | Cleversafe, Inc. | Writing data slices to ready and non-ready distributed storage units in a distributed storage network |
US8548913B2 (en) | 2009-09-29 | 2013-10-01 | Cleversafe, Inc. | Method and apparatus to secure an electronic commerce transaction |
US8281181B2 (en) * | 2009-09-30 | 2012-10-02 | Cleversafe, Inc. | Method and apparatus for selectively active dispersed storage memory device utilization |
US8438456B2 (en) * | 2009-10-05 | 2013-05-07 | Cleversafe, Inc. | Method and apparatus for dispersed storage of streaming data |
US10757187B2 (en) | 2009-10-29 | 2020-08-25 | Pure Storage, Inc. | Streaming all-or-nothing encoding with random offset support |
US10389845B2 (en) | 2009-10-29 | 2019-08-20 | Pure Storage, Inc. | Determining how to service requests based on several indicators |
US9661356B2 (en) | 2009-10-29 | 2017-05-23 | International Business Machines Corporation | Distribution of unique copies of broadcast data utilizing fault-tolerant retrieval from dispersed storage |
US9774678B2 (en) | 2009-10-29 | 2017-09-26 | International Business Machines Corporation | Temporarily storing data in a dispersed storage network |
US9015431B2 (en) * | 2009-10-29 | 2015-04-21 | Cleversafe, Inc. | Distributed storage revision rollbacks |
US8433978B2 (en) * | 2009-10-29 | 2013-04-30 | Cleversafe, Inc. | Data distribution utilizing unique read parameters in a dispersed storage system |
US9098376B2 (en) | 2009-10-30 | 2015-08-04 | Cleversafe, Inc. | Distributed storage network for modification of a data object |
US9195408B2 (en) | 2009-10-30 | 2015-11-24 | Cleversafe, Inc. | Highly autonomous dispersed storage system retrieval method |
US10073737B2 (en) | 2009-10-30 | 2018-09-11 | International Business Machines Corporation | Slice location identification |
US8572282B2 (en) | 2009-10-30 | 2013-10-29 | Cleversafe, Inc. | Router assisted dispersed storage network method and apparatus |
US8589637B2 (en) * | 2009-10-30 | 2013-11-19 | Cleversafe, Inc. | Concurrent set storage in distributed storage network |
US9413529B2 (en) | 2009-10-30 | 2016-08-09 | International Business Machines Corporation | Distributed storage network and method for storing and retrieving encryption keys |
US8479078B2 (en) * | 2009-10-30 | 2013-07-02 | Cleversafe, Inc. | Distributed storage network for modification of a data object |
US9900150B2 (en) * | 2009-10-30 | 2018-02-20 | International Business Machines Corporation | Dispersed storage camera device and method of operation |
US9311185B2 (en) | 2009-10-30 | 2016-04-12 | Cleversafe, Inc. | Dispersed storage unit solicitation method and apparatus |
US20120246214A1 (en) * | 2009-11-02 | 2012-09-27 | Hitachi, Ltd. | Method for supporting service setting |
CN101784061B (en) * | 2009-11-19 | 2011-05-11 | 北京邮电大学 | Method and device for realizing autonomous load balancing of wireless access network |
US9270298B2 (en) | 2009-11-24 | 2016-02-23 | International Business Machines Corporation | Selecting storage units to rebuild an encoded data slice |
US9152514B2 (en) | 2009-11-24 | 2015-10-06 | Cleversafe, Inc. | Rebuilding a data segment in a dispersed storage network |
US8918897B2 (en) * | 2009-11-24 | 2014-12-23 | Cleversafe, Inc. | Dispersed storage network data slice integrity verification |
US9501349B2 (en) | 2009-11-24 | 2016-11-22 | International Business Machines Corporation | Changing dispersed storage error encoding parameters |
US9672109B2 (en) | 2009-11-25 | 2017-06-06 | International Business Machines Corporation | Adaptive dispersed storage network (DSN) and system |
US8527807B2 (en) | 2009-11-25 | 2013-09-03 | Cleversafe, Inc. | Localized dispersed storage memory system |
US8688907B2 (en) * | 2009-11-25 | 2014-04-01 | Cleversafe, Inc. | Large scale subscription based dispersed storage network |
US9996548B2 (en) | 2009-11-25 | 2018-06-12 | International Business Machines Corporation | Dispersed storage using localized peer-to-peer capable wireless devices in a peer-to-peer or femto cell supported carrier served fashion |
US9836352B2 (en) | 2009-11-25 | 2017-12-05 | International Business Machines Corporation | Detecting a utilization imbalance between dispersed storage network storage units |
US8621268B2 (en) * | 2009-11-25 | 2013-12-31 | Cleversafe, Inc. | Write threshold utilization in a dispersed storage system |
US8819452B2 (en) | 2009-11-25 | 2014-08-26 | Cleversafe, Inc. | Efficient storage of encrypted data in a dispersed storage network |
US9626248B2 (en) | 2009-11-25 | 2017-04-18 | International Business Machines Corporation | Likelihood based rebuilding of missing encoded data slices |
US9489264B2 (en) | 2009-11-25 | 2016-11-08 | International Business Machines Corporation | Storing an encoded data slice as a set of sub-slices |
US10015141B2 (en) | 2009-11-25 | 2018-07-03 | International Business Machines Corporation | Dispersed data storage in a VPN group of devices |
US9369526B2 (en) | 2009-12-29 | 2016-06-14 | International Business Machines Corporation | Distributed storage time synchronization based on retrieval delay |
US10067831B2 (en) | 2009-12-29 | 2018-09-04 | International Business Machines Corporation | Slice migration in a dispersed storage network |
US10001923B2 (en) | 2009-12-29 | 2018-06-19 | International Business Machines Corporation | Generation collapse |
US9507735B2 (en) | 2009-12-29 | 2016-11-29 | International Business Machines Corporation | Digital content retrieval utilizing dispersed storage |
US9727266B2 (en) | 2009-12-29 | 2017-08-08 | International Business Machines Corporation | Selecting storage units in a dispersed storage network |
US10148788B2 (en) | 2009-12-29 | 2018-12-04 | International Business Machines Corporation | Method for providing schedulers in a distributed storage network |
US9413393B2 (en) | 2009-12-29 | 2016-08-09 | International Business Machines Corporation | Encoding multi-media content for a centralized digital video storage system |
US9462316B2 (en) * | 2009-12-29 | 2016-10-04 | International Business Machines Corporation | Digital content retrieval utilizing dispersed storage |
US9672108B2 (en) | 2009-12-29 | 2017-06-06 | International Business Machines Corporation | Dispersed storage network (DSN) and system with improved security |
US10289505B2 (en) | 2009-12-29 | 2019-05-14 | International Business Machines Corporation | Dispersed multi-media content for a centralized digital video storage system |
US9330241B2 (en) | 2009-12-29 | 2016-05-03 | International Business Machines Corporation | Applying digital rights management to multi-media file playback |
US10031669B2 (en) | 2009-12-29 | 2018-07-24 | International Business Machines Corporation | Scheduling migration related traffic to be non-disruptive and performant |
US8990585B2 (en) | 2009-12-29 | 2015-03-24 | Cleversafe, Inc. | Time based dispersed storage access |
US9305597B2 (en) | 2009-12-29 | 2016-04-05 | Cleversafe, Inc. | Accessing stored multi-media content based on a subscription priority level |
US10372686B2 (en) | 2009-12-29 | 2019-08-06 | International Business Machines Corporation | Policy-based storage in a dispersed storage network |
US9152489B2 (en) | 2009-12-29 | 2015-10-06 | Cleversafe, Inc. | Revision synchronization of a dispersed storage network |
US9866595B2 (en) | 2009-12-29 | 2018-01-09 | International Busines Machines Corporation | Policy based slice deletion in a dispersed storage network |
US8468368B2 (en) * | 2009-12-29 | 2013-06-18 | Cleversafe, Inc. | Data encryption parameter dispersal |
US9798467B2 (en) | 2009-12-29 | 2017-10-24 | International Business Machines Corporation | Security checks for proxied requests |
US10133632B2 (en) | 2009-12-29 | 2018-11-20 | International Business Machines Corporation | Determining completion of migration in a dispersed storage network |
US10237281B2 (en) | 2009-12-29 | 2019-03-19 | International Business Machines Corporation | Access policy updates in a dispersed storage network |
US8762343B2 (en) * | 2009-12-29 | 2014-06-24 | Cleversafe, Inc. | Dispersed storage of software |
US10158648B2 (en) | 2009-12-29 | 2018-12-18 | International Business Machines Corporation | Policy-based access in a dispersed storage network |
US9922063B2 (en) | 2009-12-29 | 2018-03-20 | International Business Machines Corporation | Secure storage of secret data in a dispersed storage network |
US20180335967A1 (en) | 2009-12-29 | 2018-11-22 | International Business Machines Corporation | User customizable data processing plan in a dispersed storage network |
US8522113B2 (en) * | 2010-01-28 | 2013-08-27 | Cleversafe, Inc. | Selecting storage facilities and dispersal parameters in a dispersed storage network |
US8352501B2 (en) * | 2010-01-28 | 2013-01-08 | Cleversafe, Inc. | Dispersed storage network utilizing revision snapshots |
US9760440B2 (en) | 2010-01-28 | 2017-09-12 | International Business Machines Corporation | Site-based namespace allocation |
US8954667B2 (en) | 2010-01-28 | 2015-02-10 | Cleversafe, Inc. | Data migration in a dispersed storage network |
US20190108366A1 (en) * | 2010-01-28 | 2019-04-11 | International Business Machines Corporation | Secure data transmission utilizing distributed storage |
US9201732B2 (en) | 2010-01-28 | 2015-12-01 | Cleversafe, Inc. | Selective activation of memory to retrieve data in a dispersed storage network |
US9043548B2 (en) | 2010-01-28 | 2015-05-26 | Cleversafe, Inc. | Streaming content storage |
US11301592B2 (en) | 2010-01-28 | 2022-04-12 | Pure Storage, Inc. | Distributed storage with data obfuscation and method for use therewith |
US8959366B2 (en) * | 2010-01-28 | 2015-02-17 | Cleversafe, Inc. | De-sequencing encoded data slices |
US9135115B2 (en) | 2010-02-27 | 2015-09-15 | Cleversafe, Inc. | Storing data in multiple formats including a dispersed storage format |
US10268374B2 (en) | 2010-02-27 | 2019-04-23 | International Business Machines Corporation | Redundant array of independent discs and dispersed storage network system re-director |
US10324791B2 (en) | 2010-11-01 | 2019-06-18 | International Business Machines Corporation | Selectable parallel processing of dispersed storage error encoding |
US20180365105A1 (en) | 2014-06-05 | 2018-12-20 | International Business Machines Corporation | Establishing an operation execution schedule in a dispersed storage network |
US10216647B2 (en) | 2010-02-27 | 2019-02-26 | International Business Machines Corporation | Compacting dispersed storage space |
US10007575B2 (en) | 2010-02-27 | 2018-06-26 | International Business Machines Corporation | Alternative multiple memory format storage in a storage network |
US11429486B1 (en) | 2010-02-27 | 2022-08-30 | Pure Storage, Inc. | Rebuilding data via locally decodable redundancy in a vast storage network |
US9311184B2 (en) | 2010-02-27 | 2016-04-12 | Cleversafe, Inc. | Storing raid data as encoded data slices in a dispersed storage network |
US8281182B2 (en) * | 2010-03-12 | 2012-10-02 | Cleversafe, Inc. | Dispersed storage unit selection |
US8578205B2 (en) * | 2010-03-15 | 2013-11-05 | Cleversafe, Inc. | Requesting cloud data storage |
US8527705B2 (en) * | 2010-03-16 | 2013-09-03 | Cleversafe, Inc. | Temporarily caching an encoded data slice |
US9229824B2 (en) | 2010-03-16 | 2016-01-05 | International Business Machines Corporation | Caching rebuilt encoded data slices in a dispersed storage network |
US9170884B2 (en) | 2010-03-16 | 2015-10-27 | Cleversafe, Inc. | Utilizing cached encoded data slices in a dispersed storage network |
US8914669B2 (en) | 2010-04-26 | 2014-12-16 | Cleversafe, Inc. | Secure rebuilding of an encoded data slice in a dispersed storage network |
US8625635B2 (en) | 2010-04-26 | 2014-01-07 | Cleversafe, Inc. | Dispersed storage network frame protocol header |
US10447767B2 (en) | 2010-04-26 | 2019-10-15 | Pure Storage, Inc. | Resolving a performance issue within a dispersed storage network |
US9495117B2 (en) | 2010-04-26 | 2016-11-15 | International Business Machines Corporation | Storing data in a dispersed storage network |
US9898373B2 (en) | 2010-04-26 | 2018-02-20 | International Business Machines Corporation | Prioritizing rebuilding of stored data in a dispersed storage network |
US10956292B1 (en) | 2010-04-26 | 2021-03-23 | Pure Storage, Inc. | Utilizing integrity information for data retrieval in a vast storage system |
US8938552B2 (en) | 2010-08-02 | 2015-01-20 | Cleversafe, Inc. | Resolving a protocol issue within a dispersed storage network |
US9606858B2 (en) | 2010-04-26 | 2017-03-28 | International Business Machines Corporation | Temporarily storing an encoded data slice |
US9092386B2 (en) | 2010-04-26 | 2015-07-28 | Cleversafe, Inc. | Indicating an error within a dispersed storage network |
US10353774B2 (en) | 2015-10-30 | 2019-07-16 | International Business Machines Corporation | Utilizing storage unit latency data in a dispersed storage network |
US10911230B2 (en) | 2010-05-19 | 2021-02-02 | Pure Storage, Inc. | Securely activating functionality of a computing device in a dispersed storage network |
US8621580B2 (en) | 2010-05-19 | 2013-12-31 | Cleversafe, Inc. | Retrieving access information in a dispersed storage network |
US8874868B2 (en) | 2010-05-19 | 2014-10-28 | Cleversafe, Inc. | Memory utilization balancing in a dispersed storage network |
US11740972B1 (en) | 2010-05-19 | 2023-08-29 | Pure Storage, Inc. | Migrating data in a vast storage network |
US8626871B2 (en) | 2010-05-19 | 2014-01-07 | Cleversafe, Inc. | Accessing a global vault in multiple dispersed storage networks |
US10193689B2 (en) | 2010-05-19 | 2019-01-29 | International Business Machines Corporation | Storing access information in a dispersed storage network |
US8909858B2 (en) | 2010-06-09 | 2014-12-09 | Cleversafe, Inc. | Storing encoded data slices in a dispersed storage network |
US8555142B2 (en) | 2010-06-22 | 2013-10-08 | Cleversafe, Inc. | Verifying integrity of data stored in a dispersed storage memory |
US8782227B2 (en) | 2010-06-22 | 2014-07-15 | Cleversafe, Inc. | Identifying and correcting an undesired condition of a dispersed storage network access request |
US8627114B2 (en) | 2010-08-02 | 2014-01-07 | Cleversafe, Inc. | Authenticating a data access request to a dispersed storage network |
US9063968B2 (en) | 2010-08-02 | 2015-06-23 | Cleversafe, Inc. | Identifying a compromised encoded data slice |
US20190095101A1 (en) | 2010-08-02 | 2019-03-28 | International Business Machines Corporation | Authenticating a credential in a dispersed storage network |
US10162524B2 (en) | 2010-08-02 | 2018-12-25 | International Business Machines Corporation | Determining whether to compress a data segment in a dispersed storage network |
US9077734B2 (en) | 2010-08-02 | 2015-07-07 | Cleversafe, Inc. | Authentication of devices of a dispersed storage network |
US10255135B2 (en) | 2010-08-25 | 2019-04-09 | International Business Machines Corporation | Method and apparatus for non-interactive information dispersal |
US9940195B2 (en) | 2010-08-25 | 2018-04-10 | International Business Machines Corporation | Encryption of slice partials |
US8762793B2 (en) | 2010-08-26 | 2014-06-24 | Cleversafe, Inc. | Migrating encoded data slices from a re-provisioned memory device of a dispersed storage network memory |
US11106479B2 (en) | 2010-09-30 | 2021-08-31 | Amazon Technologies, Inc. | Virtual provisioning with implementation resource boundary awareness |
US10013662B2 (en) | 2010-09-30 | 2018-07-03 | Amazon Technologies, Inc. | Virtual resource cost tracking with dedicated implementation resources |
US8656138B2 (en) | 2010-10-06 | 2014-02-18 | Cleversafe, Inc. | Efficiently accessing an encoded data slice utilizing a memory bin |
US9571230B2 (en) | 2010-10-06 | 2017-02-14 | International Business Machines Corporation | Adjusting routing of data within a network path |
US10970168B2 (en) | 2010-10-06 | 2021-04-06 | Pure Storage, Inc. | Adjusting dispersed storage error encoding parameters based on path performance |
US10298957B2 (en) | 2010-10-06 | 2019-05-21 | International Business Machines Corporation | Content-based encoding in a multiple routing path communications system |
US9112535B2 (en) | 2010-10-06 | 2015-08-18 | Cleversafe, Inc. | Data transmission utilizing partitioning and dispersed storage error encoding |
US9843412B2 (en) | 2010-10-06 | 2017-12-12 | International Business Machines Corporation | Optimizing routing of data across a communications network |
US10146645B2 (en) | 2010-11-01 | 2018-12-04 | International Business Machines Corporation | Multiple memory format storage in a storage network |
US8707105B2 (en) | 2010-11-01 | 2014-04-22 | Cleversafe, Inc. | Updating a set of memory devices in a dispersed storage network |
US10768833B2 (en) | 2010-11-01 | 2020-09-08 | Pure Storage, Inc. | Object dispersal load balancing |
US10289318B2 (en) | 2010-11-01 | 2019-05-14 | International Business Machines Corporation | Adjusting optimistic writes in a dispersed storage network |
US10805042B2 (en) | 2010-11-01 | 2020-10-13 | Pure Storage, Inc. | Creating transmission data slices for use in a dispersed storage network |
US9015499B2 (en) | 2010-11-01 | 2015-04-21 | Cleversafe, Inc. | Verifying data integrity utilizing dispersed storage |
US10082970B2 (en) | 2010-11-01 | 2018-09-25 | International Business Machines Corporation | Storing an effective dynamic width of encoded data slices |
US9590838B2 (en) | 2010-11-09 | 2017-03-07 | International Business Machines Corporation | Transferring data of a dispersed storage network |
US8627065B2 (en) | 2010-11-09 | 2014-01-07 | Cleversafe, Inc. | Validating a certificate chain in a dispersed storage network |
US10922179B2 (en) | 2010-11-29 | 2021-02-16 | Pure Storage, Inc. | Post rebuild verification |
US9336139B2 (en) * | 2010-11-29 | 2016-05-10 | Cleversafe, Inc. | Selecting a memory for storage of an encoded data slice in a dispersed storage network |
US11307930B1 (en) | 2010-11-29 | 2022-04-19 | Pure Storage, Inc. | Optimized selection of participants in distributed data rebuild/verification |
US10372350B2 (en) | 2010-11-29 | 2019-08-06 | Pure Storage, Inc. | Shared ownership of namespace ranges |
US11789631B2 (en) | 2010-11-29 | 2023-10-17 | Pure Storage, Inc. | Utilizing metadata storage trees in a vast storage network |
US9454431B2 (en) | 2010-11-29 | 2016-09-27 | International Business Machines Corporation | Memory selection for slice storage in a dispersed storage network |
US10802763B2 (en) | 2010-11-29 | 2020-10-13 | Pure Storage, Inc. | Remote storage verification |
US11582299B2 (en) | 2016-01-26 | 2023-02-14 | Pure Storage, Inc. | Allocating cache memory in a dispersed storage network |
US8832493B2 (en) | 2010-12-22 | 2014-09-09 | Cleversafe, Inc. | Storing directory metadata in a dispersed storage network |
US8897443B2 (en) | 2010-12-27 | 2014-11-25 | Cleversafe, Inc. | Watermarking slices stored in a dispersed storage network |
US9081715B2 (en) | 2011-02-01 | 2015-07-14 | Cleversafe, Inc. | Utilizing a dispersed storage network access token module to retrieve data from a dispersed storage network memory |
US8688949B2 (en) | 2011-02-01 | 2014-04-01 | Cleversafe, Inc. | Modifying data storage in response to detection of a memory system imbalance |
US20120226855A1 (en) | 2011-03-02 | 2012-09-06 | Cleversafe, Inc. | Sharing a directory of a dispersed storage network |
US10102063B2 (en) | 2011-03-02 | 2018-10-16 | International Business Machines Corporation | Transferring data utilizing a transfer token module |
US8639595B1 (en) | 2011-03-10 | 2014-01-28 | Amazon Technologies, Inc. | Statistically cost-following accounting model for dedicated resources |
US8627091B2 (en) | 2011-04-01 | 2014-01-07 | Cleversafe, Inc. | Generating a secure signature utilizing a plurality of key shares |
US10298684B2 (en) | 2011-04-01 | 2019-05-21 | International Business Machines Corporation | Adaptive replication of dispersed data to improve data access performance |
US8880978B2 (en) | 2011-04-01 | 2014-11-04 | Cleversafe, Inc. | Utilizing a local area network memory and a dispersed storage network memory to access data |
US11418580B2 (en) | 2011-04-01 | 2022-08-16 | Pure Storage, Inc. | Selective generation of secure signatures in a distributed storage network |
US9141458B2 (en) | 2011-05-09 | 2015-09-22 | Cleversafe, Inc. | Adjusting a data storage address mapping in a maintenance free storage container |
US10452836B2 (en) | 2011-05-09 | 2019-10-22 | Pure Storage, Inc. | Retrieving a hypertext markup language file from a dispersed storage network memory |
US9298550B2 (en) | 2011-05-09 | 2016-03-29 | Cleversafe, Inc. | Assigning a dispersed storage network address range in a maintenance free storage container |
US9219604B2 (en) | 2011-05-09 | 2015-12-22 | Cleversafe, Inc. | Generating an encrypted message for storage |
US20170192684A1 (en) | 2011-05-09 | 2017-07-06 | International Business Machines Corporation | Auditing a transaction in a dispersed storage network |
US10042709B2 (en) | 2011-06-06 | 2018-08-07 | International Business Machines Corporation | Rebuild prioritization during a plurality of concurrent data object write operations |
US8656253B2 (en) | 2011-06-06 | 2014-02-18 | Cleversafe, Inc. | Storing portions of data in a dispersed storage network |
US10949301B2 (en) | 2011-06-06 | 2021-03-16 | Pure Storage, Inc. | Pre-positioning pre-stored content in a content distribution system |
US10061650B2 (en) | 2011-06-06 | 2018-08-28 | International Business Machines Corporation | Priority based rebuilding |
US8756480B2 (en) | 2011-06-06 | 2014-06-17 | Cleversafe, Inc. | Prioritized deleting of slices stored in a dispersed storage network |
US8924770B2 (en) | 2011-07-06 | 2014-12-30 | Cleversafe, Inc. | Rebuilding a data slice of a maintenance free storage container |
US20130013798A1 (en) | 2011-07-06 | 2013-01-10 | Cleversafe, Inc. | Distribution of multi-media content to a user device |
US11016702B2 (en) | 2011-07-27 | 2021-05-25 | Pure Storage, Inc. | Hierarchical event tree |
US9135098B2 (en) * | 2011-07-27 | 2015-09-15 | Cleversafe, Inc. | Modifying dispersed storage network event records |
US10678619B2 (en) | 2011-07-27 | 2020-06-09 | Pure Storage, Inc. | Unified logs and device statistics |
US10120756B2 (en) | 2011-08-17 | 2018-11-06 | International Business Machines Corporation | Audit object generation in a dispersed storage network |
US9971802B2 (en) | 2011-08-17 | 2018-05-15 | International Business Machines Corporation | Audit record transformation in a dispersed storage network |
US10454678B2 (en) | 2011-08-17 | 2019-10-22 | Pure Storage, Inc. | Accesor-based audit trails |
US9092385B2 (en) | 2011-08-17 | 2015-07-28 | Cleversafe, Inc. | Facilitating access of a dispersed storage network |
US20190179696A1 (en) | 2011-09-06 | 2019-06-13 | International Business Machines Corporation | Demultiplexing decoded data streams in a distributed storage network |
US11907060B2 (en) | 2011-09-06 | 2024-02-20 | Pure Storage, Inc. | Coding of data streams in a vast storage network |
US8930649B2 (en) | 2011-09-06 | 2015-01-06 | Cleversafe, Inc. | Concurrent coding of data streams |
US10235237B2 (en) | 2011-09-06 | 2019-03-19 | Intertnational Business Machines Corporation | Decoding data streams in a distributed storage network |
US9722866B1 (en) | 2011-09-23 | 2017-08-01 | Amazon Technologies, Inc. | Resource allocation to reduce correlated failures |
US8555130B2 (en) | 2011-10-04 | 2013-10-08 | Cleversafe, Inc. | Storing encoded data slices in a dispersed storage unit |
US8677214B2 (en) | 2011-10-04 | 2014-03-18 | Cleversafe, Inc. | Encoding data utilizing a zero information gain function |
US8776186B2 (en) | 2011-10-04 | 2014-07-08 | Cleversafe, Inc. | Obtaining a signed certificate for a dispersed storage network |
US11329830B1 (en) | 2011-11-01 | 2022-05-10 | Pure Storage, Inc. | Dispersed credentials |
US9304843B2 (en) | 2011-11-01 | 2016-04-05 | Cleversafe, Inc. | Highly secure method for accessing a dispersed storage network |
US10496500B2 (en) | 2011-11-01 | 2019-12-03 | Pure Storage, Inc. | Preemptively reading extra encoded data slices |
US10437678B2 (en) | 2011-11-01 | 2019-10-08 | Pure Storage, Inc. | Updating an encoded data slice |
US9798616B2 (en) | 2011-11-01 | 2017-10-24 | International Business Machines Corporation | Wireless sending a set of encoded data slices |
US10365969B2 (en) | 2011-11-01 | 2019-07-30 | International Business Machines Corporation | Multiple wireless communication systems stream slices based on geography |
US8627066B2 (en) | 2011-11-03 | 2014-01-07 | Cleversafe, Inc. | Processing a dispersed storage network access request utilizing certificate chain validation information |
ES2427645B1 (en) | 2011-11-15 | 2014-09-02 | Telefónica, S.A. | METHOD FOR MANAGING PERFORMANCE IN APPLICATIONS OF MULTIPLE LAYERS IMPLEMENTED IN AN INFORMATION TECHNOLOGY INFRASTRUCTURE |
US10558592B2 (en) | 2011-11-28 | 2020-02-11 | Pure Storage, Inc. | Priority level adaptation in a dispersed storage network |
US11474958B1 (en) | 2011-11-28 | 2022-10-18 | Pure Storage, Inc. | Generating and queuing system messages with priorities in a storage network |
US8848906B2 (en) | 2011-11-28 | 2014-09-30 | Cleversafe, Inc. | Encrypting data for storage in a dispersed storage network |
US10318445B2 (en) | 2011-11-28 | 2019-06-11 | International Business Machines Corporation | Priority level adaptation in a dispersed storage network |
US10387071B2 (en) | 2011-11-28 | 2019-08-20 | Pure Storage, Inc. | On-the-fly cancellation of unnecessary read requests |
US9203625B2 (en) | 2011-11-28 | 2015-12-01 | Cleversafe, Inc. | Transferring encoded data slices in a distributed storage network |
US10055283B2 (en) | 2011-11-28 | 2018-08-21 | International Business Machines Corporation | Securely distributing random keys in a dispersed storage network |
US10977194B2 (en) | 2011-11-28 | 2021-04-13 | Pure Storage, Inc. | Securely storing random keys in a dispersed storage network |
US9009567B2 (en) | 2011-12-12 | 2015-04-14 | Cleversafe, Inc. | Encrypting distributed computing data |
US9817701B2 (en) | 2011-12-12 | 2017-11-14 | International Business Machines Corporation | Threshold computing in a distributed computing system |
US10346218B2 (en) | 2011-12-12 | 2019-07-09 | International Business Machines Corporation | Partial task allocation in a dispersed storage network |
US9584359B2 (en) | 2011-12-12 | 2017-02-28 | International Business Machines Corporation | Distributed storage and computing of interim data |
US10176045B2 (en) | 2011-12-12 | 2019-01-08 | International Business Machines Corporation | Internet based shared memory in a distributed computing system |
US20180083930A1 (en) | 2011-12-12 | 2018-03-22 | International Business Machines Corporation | Reads for dispersed computation jobs |
US9141468B2 (en) | 2011-12-12 | 2015-09-22 | Cleversafe, Inc. | Managing memory utilization in a distributed storage and task network |
US9674155B2 (en) | 2011-12-12 | 2017-06-06 | International Business Machines Corporation | Encrypting segmented data in a distributed computing system |
US10146621B2 (en) | 2011-12-12 | 2018-12-04 | International Business Machines Corporation | Chaining computes in a distributed computing system |
US10348640B2 (en) | 2011-12-12 | 2019-07-09 | International Business Machines Corporation | Partial task execution in a dispersed storage network |
US10104168B2 (en) | 2011-12-12 | 2018-10-16 | International Business Machines Corporation | Method for managing throughput in a distributed storage network |
US9430286B2 (en) | 2011-12-12 | 2016-08-30 | International Business Machines Corporation | Authorizing distributed task processing in a distributed storage network |
US20130238900A1 (en) | 2011-12-12 | 2013-09-12 | Cleversafe, Inc. | Dispersed storage network secure hierarchical file directory |
US10360106B2 (en) | 2011-12-12 | 2019-07-23 | International Business Machines Corporation | Throttled real-time writes |
US9304858B2 (en) | 2011-12-12 | 2016-04-05 | International Business Machines Corporation | Analyzing found data in a distributed storage and task network |
US10666596B2 (en) | 2011-12-12 | 2020-05-26 | Pure Storage, Inc. | Messaging via a shared memory of a distributed computing system |
US9891995B2 (en) | 2012-01-31 | 2018-02-13 | International Business Machines Corporation | Cooperative decentralized rebuild scanning |
US9203902B2 (en) | 2012-01-31 | 2015-12-01 | Cleversafe, Inc. | Securely and reliably storing data in a dispersed storage network |
US9465861B2 (en) | 2012-01-31 | 2016-10-11 | International Business Machines Corporation | Retrieving indexed data from a dispersed storage network |
US10671585B2 (en) | 2012-01-31 | 2020-06-02 | Pure Storage, Inc. | Storing indexed data to a dispersed storage network |
US9146810B2 (en) | 2012-01-31 | 2015-09-29 | Cleversafe, Inc. | Identifying a potentially compromised encoded data slice |
US8990664B2 (en) | 2012-01-31 | 2015-03-24 | Cleversafe, Inc. | Identifying a potentially compromised encoded data slice |
US10402393B2 (en) | 2012-03-02 | 2019-09-03 | Pure Storage, Inc. | Slice migration in a dispersed storage network |
US9195684B2 (en) | 2012-03-02 | 2015-11-24 | Cleversafe, Inc. | Redundant task execution in a distributed storage and task network |
US11232093B2 (en) | 2012-03-02 | 2022-01-25 | Pure Storage, Inc. | Slice migration in a dispersed storage network |
US9171031B2 (en) | 2012-03-02 | 2015-10-27 | Cleversafe, Inc. | Merging index nodes of a hierarchical dispersed storage index |
US10157051B2 (en) | 2012-03-02 | 2018-12-18 | International Business Machines Corporation | Upgrading devices in a dispersed storage network |
US9380032B2 (en) | 2012-04-25 | 2016-06-28 | International Business Machines Corporation | Encrypting data for storage in a dispersed storage network |
US10621044B2 (en) | 2012-04-25 | 2020-04-14 | Pure Storage, Inc. | Mapping slice groupings in a dispersed storage network |
US10795766B2 (en) | 2012-04-25 | 2020-10-06 | Pure Storage, Inc. | Mapping slice groupings in a dispersed storage network |
US20130312008A1 (en) * | 2012-05-17 | 2013-11-21 | Johnathan J. PARK | Integrated Network System |
US10474395B2 (en) | 2012-06-05 | 2019-11-12 | Pure Storage, Inc. | Abstracting namespace mapping in a dispersed storage network through multiple hierarchies |
US9613052B2 (en) | 2012-06-05 | 2017-04-04 | International Business Machines Corporation | Establishing trust within a cloud computing system |
US10002047B2 (en) | 2012-06-05 | 2018-06-19 | International Business Machines Corporation | Read-if-not-revision-equals protocol message |
US10447471B2 (en) | 2012-06-05 | 2019-10-15 | Pure Storage, Inc. | Systematic secret sharing |
US10073638B2 (en) | 2012-06-05 | 2018-09-11 | International Business Machines Corporation | Automatic namespace ordering determination |
US10114697B2 (en) | 2012-06-25 | 2018-10-30 | International Business Machines Corporation | Large object parallel writing |
US20180336097A1 (en) | 2012-06-25 | 2018-11-22 | International Business Machines Corporation | Namespace affinity and failover for processing units in a dispersed storage network |
US8935761B2 (en) | 2012-06-25 | 2015-01-13 | Cleversafe, Inc. | Accessing storage nodes in an on-line media storage system |
US11093327B1 (en) | 2012-06-25 | 2021-08-17 | Pure Storage, Inc. | Failure abatement approach for failed storage units common to multiple vaults |
US10120574B2 (en) | 2012-06-25 | 2018-11-06 | International Business Machines Corporation | Reversible data modifications within DS units |
US10430276B2 (en) | 2012-06-25 | 2019-10-01 | Pure Storage, Inc. | Optimal orderings of processing unit priorities in a dispersed storage network |
US10157011B2 (en) | 2012-06-25 | 2018-12-18 | International Business Machines Corporation | Temporary suspension of vault access |
US9141297B2 (en) | 2012-06-25 | 2015-09-22 | Cleversafe, Inc. | Verifying encoded data slice integrity in a dispersed storage network |
US9258177B2 (en) | 2012-08-02 | 2016-02-09 | International Business Machines Corporation | Storing a data stream in a set of storage devices |
US10651975B2 (en) | 2012-08-02 | 2020-05-12 | Pure Storage, Inc. | Forwarding data amongst cooperative DSTN processing units of a massive data ingestion system |
US10409678B2 (en) | 2012-08-31 | 2019-09-10 | Pure Storage, Inc. | Self-optimizing read-ahead |
US9875158B2 (en) | 2012-08-31 | 2018-01-23 | International Business Machines Corporation | Slice storage in a dispersed storage network |
US11360851B2 (en) | 2012-08-31 | 2022-06-14 | Pure Storage, Inc. | Duplicating authentication information between connections |
US10409679B2 (en) | 2012-08-31 | 2019-09-10 | Pure Storage, Inc. | Migrating data slices in a dispersed storage network |
US10331518B2 (en) | 2012-08-31 | 2019-06-25 | International Business Machines Corporation | Encoding data in a dispersed storage network |
US10241863B2 (en) | 2012-08-31 | 2019-03-26 | International Business Machines Corporation | Slice rebuilding in a dispersed storage network |
US9176822B2 (en) | 2012-08-31 | 2015-11-03 | Cleversafe, Inc. | Adjusting dispersed storage error encoding parameters |
US10057351B2 (en) | 2012-09-13 | 2018-08-21 | International Business Machines Corporation | Modifying information dispersal algorithm configurations in a dispersed storage network |
US10402423B2 (en) | 2012-09-13 | 2019-09-03 | Pure Storage, Inc. | Sliding windows for batching index updates |
US10318549B2 (en) | 2012-09-13 | 2019-06-11 | International Business Machines Corporation | Batching modifications to nodes in a dispersed index |
US10331698B2 (en) | 2012-09-13 | 2019-06-25 | International Business Machines Corporation | Rebuilding data in a dispersed storage network |
US10417253B2 (en) | 2012-09-13 | 2019-09-17 | Pure Storage, Inc. | Multi-level data storage in a dispersed storage network |
US9424326B2 (en) | 2012-09-13 | 2016-08-23 | International Business Machines Corporation | Writing data avoiding write conflicts in a dispersed storage network |
US11521139B2 (en) | 2012-09-24 | 2022-12-06 | Amazon Technologies, Inc. | Providing system resources with secure containment units |
US10331519B2 (en) | 2012-10-08 | 2019-06-25 | International Business Machines Corporation | Application of secret sharing schemes at multiple levels of a dispersed storage network |
US10127111B2 (en) | 2012-10-08 | 2018-11-13 | International Business Machines Corporation | Client provided request prioritization hints |
US10606700B2 (en) | 2012-10-08 | 2020-03-31 | Pure Storage, Inc. | Enhanced dispersed storage error encoding using multiple encoding layers |
US9503513B2 (en) | 2012-10-08 | 2016-11-22 | International Business Machines Corporation | Robust transmission of data utilizing encoded data slices |
US10169091B2 (en) | 2012-10-25 | 2019-01-01 | Nvidia Corporation | Efficient memory virtualization in multi-threaded processing units |
US10310973B2 (en) | 2012-10-25 | 2019-06-04 | Nvidia Corporation | Efficient memory virtualization in multi-threaded processing units |
US10037228B2 (en) | 2012-10-25 | 2018-07-31 | Nvidia Corporation | Efficient memory virtualization in multi-threaded processing units |
US9936020B2 (en) | 2012-10-30 | 2018-04-03 | International Business Machines Corporation | Access control of data in a dispersed storage network |
US9298542B2 (en) | 2012-10-30 | 2016-03-29 | Cleversafe, Inc. | Recovering data from corrupted encoded data slices |
US10558621B2 (en) | 2012-12-05 | 2020-02-11 | Pure Storage, Inc. | Lock stealing writes for improved reliability |
US9811533B2 (en) | 2012-12-05 | 2017-11-07 | International Business Machines Corporation | Accessing distributed computing functions in a distributed computing system |
US10587691B2 (en) | 2012-12-05 | 2020-03-10 | Pure Storage, Inc. | Impatient writes |
US9521197B2 (en) | 2012-12-05 | 2016-12-13 | International Business Machines Corporation | Utilizing data object storage tracking in a dispersed storage network |
US9558067B2 (en) | 2013-01-04 | 2017-01-31 | International Business Machines Corporation | Mapping storage of data in a dispersed storage network |
US10423491B2 (en) | 2013-01-04 | 2019-09-24 | Pure Storage, Inc. | Preventing multiple round trips when writing to target widths |
US10204009B2 (en) | 2013-01-04 | 2019-02-12 | International Business Machines Corporation | Prioritized rebuilds using dispersed indices |
US10642992B2 (en) | 2013-01-04 | 2020-05-05 | Pure Storage, Inc. | Password augmented all-or-nothin transform |
US10241866B2 (en) | 2013-01-04 | 2019-03-26 | International Business Machines Corporation | Allocating rebuilding queue entries in a dispersed storage network |
US20190250823A1 (en) | 2013-01-04 | 2019-08-15 | International Business Machines Corporation | Efficient computation of only the required slices |
US9311187B2 (en) | 2013-01-04 | 2016-04-12 | Cleversafe, Inc. | Achieving storage compliance in a dispersed storage network |
US10013203B2 (en) | 2013-01-04 | 2018-07-03 | International Business Machines Corporation | Achieving storage compliance in a dispersed storage network |
US10402270B2 (en) | 2013-01-04 | 2019-09-03 | Pure Storage, Inc. | Deterministically determining affinity for a source name range |
US11416340B1 (en) | 2013-01-04 | 2022-08-16 | Pure Storage, Inc. | Storage system with multiple storage types in a vast storage network |
US10229002B2 (en) | 2013-01-04 | 2019-03-12 | International Business Machines Corporation | Process to migrate named objects to a dispersed or distributed storage network (DSN) |
US9529583B2 (en) | 2013-01-15 | 2016-12-27 | Intel Corporation | Single microcontroller based management of multiple compute nodes |
US10310763B2 (en) | 2013-02-05 | 2019-06-04 | International Business Machines Corporation | Forming a distributed storage network memory without namespace aware distributed storage units |
US10268554B2 (en) | 2013-02-05 | 2019-04-23 | International Business Machines Corporation | Using dispersed computation to change dispersal characteristics |
US10430122B2 (en) | 2013-02-05 | 2019-10-01 | Pure Storage, Inc. | Using partial rebuilding to change information dispersal algorithm (IDA) |
US10664360B2 (en) | 2013-02-05 | 2020-05-26 | Pure Storage, Inc. | Identifying additional resources to accelerate rebuildling |
US10621021B2 (en) | 2013-02-05 | 2020-04-14 | Pure Storage, Inc. | Using dispersed data structures to point to slice or date source replicas |
US9043499B2 (en) | 2013-02-05 | 2015-05-26 | Cleversafe, Inc. | Modifying a dispersed storage network memory data access response plan |
US10055441B2 (en) | 2013-02-05 | 2018-08-21 | International Business Machines Corporation | Updating shared group information in a dispersed storage network |
US10642489B2 (en) | 2013-02-26 | 2020-05-05 | Pure Storage, Inc. | Determining when to initiate an intra-distributed storage unit rebuild vs. an inter-distributed storage unit rebuild |
US9274908B2 (en) | 2013-02-26 | 2016-03-01 | International Business Machines Corporation | Resolving write conflicts in a dispersed storage network |
US11036392B2 (en) | 2013-02-26 | 2021-06-15 | Pure Storage, Inc. | Determining when to use convergent encryption |
US10075523B2 (en) | 2013-04-01 | 2018-09-11 | International Business Machines Corporation | Efficient storage of data in a dispersed storage network |
US10223213B2 (en) | 2013-05-03 | 2019-03-05 | International Business Machines Corporation | Salted zero expansion all or nothing transformation |
US9456035B2 (en) | 2013-05-03 | 2016-09-27 | International Business Machines Corporation | Storing related data in a dispersed storage network |
US9405609B2 (en) | 2013-05-22 | 2016-08-02 | International Business Machines Corporation | Storing data in accordance with a performance threshold |
US11226860B1 (en) | 2013-05-30 | 2022-01-18 | Pure Storage, Inc. | Difference based rebuild list scanning |
US9424132B2 (en) | 2013-05-30 | 2016-08-23 | International Business Machines Corporation | Adjusting dispersed storage network traffic due to rebuilding |
US9432341B2 (en) | 2013-05-30 | 2016-08-30 | International Business Machines Corporation | Securing data in a dispersed storage network |
US9652470B2 (en) | 2013-07-01 | 2017-05-16 | International Business Machines Corporation | Storing data in a dispersed storage network |
US9501360B2 (en) | 2013-07-01 | 2016-11-22 | International Business Machines Corporation | Rebuilding data while reading data in a dispersed storage network |
US10169369B2 (en) | 2013-07-01 | 2019-01-01 | International Business Machines Corporation | Meeting storage requirements with limited storage resources |
US11221916B2 (en) | 2013-07-01 | 2022-01-11 | Pure Storage, Inc. | Prioritized data reconstruction in a dispersed storage network |
US10133635B2 (en) | 2013-07-01 | 2018-11-20 | International Business Machines Corporation | Low-width vault in distributed storage system |
US10180880B2 (en) | 2013-07-31 | 2019-01-15 | International Business Machines Corporation | Adaptive rebuilding rates based on sampling and inference |
US20180188964A1 (en) | 2013-07-31 | 2018-07-05 | International Business Machines Corporation | Managed storage unit shutdown in a distributed storage network |
US10681134B2 (en) | 2013-07-31 | 2020-06-09 | Pure Storage, Inc. | Accelerated learning in adaptive rebuilding by applying observations to other samples |
US9451025B2 (en) | 2013-07-31 | 2016-09-20 | International Business Machines Corporation | Distributed storage network with alternative foster storage approaches and methods for use therewith |
US9626125B2 (en) | 2013-07-31 | 2017-04-18 | International Business Machines Corporation | Accounting for data that needs to be rebuilt or deleted |
US10514857B2 (en) | 2013-08-29 | 2019-12-24 | Pure Storage, Inc. | Dynamic adjusting of parameters based on resource scoring |
US9661074B2 (en) | 2013-08-29 | 2017-05-23 | International Business Machines Corporations | Updating de-duplication tracking data for a dispersed storage network |
US9998538B2 (en) | 2013-08-29 | 2018-06-12 | International Business Machines Corporation | Dispersed storage with coordinated execution and methods for use therewith |
US10601918B2 (en) | 2013-08-29 | 2020-03-24 | Pure Storage, Inc. | Rotating inactive storage units in a distributed storage network |
US10489071B2 (en) | 2013-08-29 | 2019-11-26 | Pure Storage, Inc. | Vault provisioning within dispersed or distributed storage network (DSN) |
US10484474B2 (en) | 2013-08-29 | 2019-11-19 | Pure Storage, Inc. | Rotating offline DS units |
US9857974B2 (en) | 2013-10-03 | 2018-01-02 | International Business Machines Corporation | Session execution decision |
US10182115B2 (en) | 2013-11-01 | 2019-01-15 | International Business Machines Corporation | Changing rebuild priority for a class of data |
US10304096B2 (en) | 2013-11-01 | 2019-05-28 | International Business Machines Corporation | Renting a pipe to a storage system |
US9781208B2 (en) | 2013-11-01 | 2017-10-03 | International Business Machines Corporation | Obtaining dispersed storage network system registry information |
US9900316B2 (en) | 2013-12-04 | 2018-02-20 | International Business Machines Corporation | Accessing storage units of a dispersed storage network |
US11340993B2 (en) | 2014-01-06 | 2022-05-24 | Pure Storage, Inc. | Deferred rebuilding with alternate storage locations |
US9594639B2 (en) | 2014-01-06 | 2017-03-14 | International Business Machines Corporation | Configuring storage resources of a dispersed storage network |
US10922181B2 (en) | 2014-01-06 | 2021-02-16 | Pure Storage, Inc. | Using storage locations greater than an IDA width in a dispersed storage network |
US9778987B2 (en) | 2014-01-31 | 2017-10-03 | International Business Machines Corporation | Writing encoded data slices in a dispersed storage network |
US9552261B2 (en) | 2014-01-31 | 2017-01-24 | International Business Machines Corporation | Recovering data from microslices in a dispersed storage network |
US10318382B2 (en) | 2014-01-31 | 2019-06-11 | International Business Machines Corporation | Determining missing encoded data slices |
US11204836B1 (en) | 2014-01-31 | 2021-12-21 | Pure Storage, Inc. | Using trap slices for anomaly detection in a distributed storage network |
US10592109B2 (en) | 2014-02-26 | 2020-03-17 | Pure Storage, Inc. | Selecting storage resources in a dispersed storage network |
US10678638B2 (en) | 2014-02-26 | 2020-06-09 | Pure Storage, Inc. | Resolving write conflicts in a dispersed storage network |
US9529834B2 (en) | 2014-02-26 | 2016-12-27 | International Business Machines Corporation | Concatenating data objects for storage in a dispersed storage network |
US10769016B2 (en) | 2014-02-26 | 2020-09-08 | Pure Storage, Inc. | Storing a plurality of correlated data in a dispersed storage network |
US10635312B2 (en) | 2014-02-26 | 2020-04-28 | Pure Storage, Inc. | Recovering data in a dispersed storage network |
US10140182B2 (en) | 2014-02-26 | 2018-11-27 | International Business Machines Corporation | Modifying allocation of storage resources in a dispersed storage network |
US9665429B2 (en) | 2014-02-26 | 2017-05-30 | International Business Machines Corporation | Storage of data with verification in a dispersed storage network |
US20150288680A1 (en) | 2014-04-02 | 2015-10-08 | Cleversafe, Inc. | Distributing registry information in a dispersed storage network |
US10681138B2 (en) | 2014-04-02 | 2020-06-09 | Pure Storage, Inc. | Storing and retrieving multi-format content in a distributed storage network |
US10761917B2 (en) | 2014-04-02 | 2020-09-01 | Pure Storage, Inc. | Using global namespace addressing in a dispersed storage network |
US10628245B2 (en) | 2014-04-02 | 2020-04-21 | Pure Storage, Inc. | Monitoring of storage units in a dispersed storage network |
US11347590B1 (en) | 2014-04-02 | 2022-05-31 | Pure Storage, Inc. | Rebuilding data in a distributed storage network |
US20190087599A1 (en) | 2014-04-02 | 2019-03-21 | International Business Machines Corporation | Compressing a slice name listing in a dispersed storage network |
US10020826B2 (en) | 2014-04-02 | 2018-07-10 | International Business Machines Corporation | Generating molecular encoding information for data storage |
US10015152B2 (en) | 2014-04-02 | 2018-07-03 | International Business Machines Corporation | Securing data in a dispersed storage network |
US10802732B2 (en) | 2014-04-30 | 2020-10-13 | Pure Storage, Inc. | Multi-level stage locality selection on a large system |
US10296263B2 (en) | 2014-04-30 | 2019-05-21 | International Business Machines Corporation | Dispersed bloom filter for determining presence of an object |
US9542239B2 (en) | 2014-04-30 | 2017-01-10 | International Business Machines Corporation | Resolving write request conflicts in a dispersed storage network |
US10394476B2 (en) | 2014-04-30 | 2019-08-27 | Pure Storage, Inc. | Multi-level stage locality selection on a large system |
US9735967B2 (en) | 2014-04-30 | 2017-08-15 | International Business Machines Corporation | Self-validating request message structure and operation |
US10140178B2 (en) | 2014-06-05 | 2018-11-27 | International Business Machines Corporation | Verifying a status level of stored encoded data slices |
US10152601B2 (en) | 2014-06-05 | 2018-12-11 | International Business Machines Corporation | Reliably recovering stored data in a dispersed storage network |
US10509577B2 (en) | 2014-06-05 | 2019-12-17 | Pure Storage, Inc. | Reliable storage in a dispersed storage network |
US9690520B2 (en) | 2014-06-30 | 2017-06-27 | International Business Machines Corporation | Recovering an encoded data slice in a dispersed storage network |
US11398988B1 (en) | 2014-06-30 | 2022-07-26 | Pure Storage, Inc. | Selection of access resources in a distributed storage network |
US11099763B1 (en) | 2014-06-30 | 2021-08-24 | Pure Storage, Inc. | Migrating generational storage to a decentralized agreement protocol paradigm |
US10440105B2 (en) | 2014-06-30 | 2019-10-08 | Pure Storage, Inc. | Using a decentralized agreement protocol to rank storage locations for target width |
US10459797B2 (en) | 2014-06-30 | 2019-10-29 | Pure Storage, Inc. | Making trade-offs between rebuild scanning and failing memory device flexibility |
US10447612B2 (en) | 2014-06-30 | 2019-10-15 | Pure Storage, Inc. | Migrating encoded data slices in a dispersed storage network |
US10042564B2 (en) | 2014-06-30 | 2018-08-07 | International Business Machines Corporation | Accessing data while migrating storage of the data |
US11606431B2 (en) | 2014-06-30 | 2023-03-14 | Pure Storage, Inc. | Maintaining failure independence for storage of a set of encoded data slices |
US9841925B2 (en) | 2014-06-30 | 2017-12-12 | International Business Machines Corporation | Adjusting timing of storing data in a dispersed storage network |
US10673946B2 (en) | 2014-06-30 | 2020-06-02 | Pure Storage, Inc. | Using separate weighting scores for different types of data in a decentralized agreement protocol |
US9838478B2 (en) | 2014-06-30 | 2017-12-05 | International Business Machines Corporation | Identifying a task execution resource of a dispersed storage network |
US11728964B2 (en) | 2014-07-31 | 2023-08-15 | Pure Storage, Inc. | Performance aided data migration in a distributed storage network |
US10644874B2 (en) | 2014-07-31 | 2020-05-05 | Pure Storage, Inc. | Limiting brute force attacks against dispersed credentials in a distributed storage system |
US10613936B2 (en) | 2014-07-31 | 2020-04-07 | Pure Storage, Inc. | Fractional slices in a distributed storage system |
US10089036B2 (en) | 2014-07-31 | 2018-10-02 | International Business Machines Corporation | Migrating data in a distributed storage network |
US10049120B2 (en) | 2014-09-05 | 2018-08-14 | International Business Machines Corporation | Consistency based access of data in a dispersed storage network |
US10176191B2 (en) | 2014-09-05 | 2019-01-08 | International Business Machines Corporation | Recovering from conflicts that emerge from eventually consistent operations |
US11442921B1 (en) | 2014-09-05 | 2022-09-13 | Pure Storage, Inc. | Data access in a dispersed storage network with consistency |
US10402395B2 (en) | 2014-09-05 | 2019-09-03 | Pure Storage, Inc. | Facilitating data consistency in a dispersed storage network |
US10268545B2 (en) | 2014-09-08 | 2019-04-23 | International Business Machines Corporation | Using reinforcement learning to select a DS processing unit |
US9591076B2 (en) | 2014-09-08 | 2017-03-07 | International Business Machines Corporation | Maintaining a desired number of storage units |
US10146622B2 (en) | 2014-09-08 | 2018-12-04 | International Business Machines Corporation | Combining deduplication with locality for efficient and fast storage |
US10409621B2 (en) | 2014-10-20 | 2019-09-10 | Taser International, Inc. | Systems and methods for distributed control |
US9916114B2 (en) | 2014-10-29 | 2018-03-13 | International Business Machines Corporation | Deterministically sharing a plurality of processing resources |
US10095582B2 (en) | 2014-10-29 | 2018-10-09 | International Business Machines Corporation | Partial rebuilding techniques in a dispersed storage unit |
US10481833B2 (en) | 2014-10-29 | 2019-11-19 | Pure Storage, Inc. | Transferring data encoding functions in a distributed storage network |
US10459792B2 (en) | 2014-10-29 | 2019-10-29 | Pure Storage, Inc. | Using an eventually consistent dispersed memory to implement storage tiers |
US10282135B2 (en) | 2014-10-29 | 2019-05-07 | International Business Machines Corporation | Strong consistency write threshold |
US20180101457A1 (en) | 2014-10-29 | 2018-04-12 | International Business Machines Corporation | Retrying failed write operations in a dispersed storage network |
US10223033B2 (en) | 2014-10-29 | 2019-03-05 | International Business Machines Corporation | Coordinating arrival times of data slices in a dispersed storage network |
US10558527B2 (en) | 2014-12-02 | 2020-02-11 | Pure Storage, Inc. | Rebuilding strategy in memory managed multi-site duplication |
US10481832B2 (en) | 2014-12-02 | 2019-11-19 | Pure Storage, Inc. | Applying a probability function to avoid storage operations for already-deleted data |
US10503592B2 (en) | 2014-12-02 | 2019-12-10 | Pure Storage, Inc. | Overcoming bottlenecks in partial and traditional rebuild operations |
US10120739B2 (en) | 2014-12-02 | 2018-11-06 | International Business Machines Corporation | Prioritized data rebuilding in a dispersed storage network |
US10521298B2 (en) | 2014-12-02 | 2019-12-31 | Pure Storage, Inc. | Temporarily storing dropped and rebuilt slices in a DSN memory |
US9727275B2 (en) | 2014-12-02 | 2017-08-08 | International Business Machines Corporation | Coordinating storage of data in dispersed storage networks |
US10402271B2 (en) | 2014-12-02 | 2019-09-03 | Pure Storage, Inc. | Overcoming bottlenecks in zero information gain (ZIG) rebuild operations |
US10489247B2 (en) | 2014-12-31 | 2019-11-26 | Pure Storage, Inc. | Generating time-ordered globally unique revision numbers |
US10387252B2 (en) | 2014-12-31 | 2019-08-20 | Pure Storage, Inc. | Synchronously storing data in a plurality of dispersed storage networks |
US10642687B2 (en) | 2014-12-31 | 2020-05-05 | Pure Storage, Inc. | Pessimistic reads and other smart-read enhancements with synchronized vaults |
US10621042B2 (en) | 2014-12-31 | 2020-04-14 | Pure Storage, Inc. | Vault transformation within a dispersed storage network |
US10452317B2 (en) | 2014-12-31 | 2019-10-22 | Pure Storage, Inc. | DAP redistribution operation within a dispersed storage network |
US10423359B2 (en) | 2014-12-31 | 2019-09-24 | Pure Storage, Inc. | Linking common attributes among a set of synchronized vaults |
US10656866B2 (en) | 2014-12-31 | 2020-05-19 | Pure Storage, Inc. | Unidirectional vault synchronization to support tiering |
US11604707B2 (en) | 2014-12-31 | 2023-03-14 | Pure Storage, Inc. | Handling failures when synchronizing objects during a write operation |
US10126974B2 (en) | 2014-12-31 | 2018-11-13 | International Business Machines Corporation | Redistributing encoded data slices in a dispersed storage network |
US10623495B2 (en) | 2014-12-31 | 2020-04-14 | Pure Storage, Inc. | Keeping synchronized writes from getting out of synch |
US9727427B2 (en) | 2014-12-31 | 2017-08-08 | International Business Machines Corporation | Synchronizing storage of data copies in a dispersed storage network |
US10440116B2 (en) | 2015-01-30 | 2019-10-08 | Pure Storage, Inc. | Minimizing data movement through rotation of spare memory devices |
US10289342B2 (en) | 2015-01-30 | 2019-05-14 | International Business Machines Corporation | Data access optimization protocol in a dispersed storage network |
US10594793B2 (en) | 2015-01-30 | 2020-03-17 | Pure Storage, Inc. | Read-prepare requests to multiple memories |
US10423490B2 (en) | 2015-01-30 | 2019-09-24 | Pure Storage, Inc. | Read-source requests to support bundled writes in a distributed storage system |
US10511665B2 (en) | 2015-01-30 | 2019-12-17 | Pure Storage, Inc. | Efficient resource reclamation after deletion of slice from common file |
US9826038B2 (en) | 2015-01-30 | 2017-11-21 | International Business Machines Corporation | Selecting a data storage resource of a dispersed storage network |
US10530862B2 (en) | 2015-01-30 | 2020-01-07 | Pure Storage, Inc. | Determining slices to rebuild from low-level failures |
US10498822B2 (en) | 2015-01-30 | 2019-12-03 | Pure Storage, Inc. | Adaptive scanning rates |
US10740180B2 (en) | 2015-01-30 | 2020-08-11 | Pure Storage, Inc. | Storing and retrieving data using proxies |
US10592132B2 (en) | 2015-01-30 | 2020-03-17 | Pure Storage, Inc. | Read-foreign-slices request for improved read efficiency with bundled writes |
US9740547B2 (en) | 2015-01-30 | 2017-08-22 | International Business Machines Corporation | Storing data using a dual path storage approach |
US10620878B2 (en) | 2015-01-30 | 2020-04-14 | Pure Storage, Inc. | Write threshold plus value in dispersed storage network write operations |
US10169123B2 (en) | 2015-01-30 | 2019-01-01 | International Business Machines Corporation | Distributed data rebuilding |
US10506045B2 (en) | 2015-01-30 | 2019-12-10 | Pure Storage, Inc. | Memory access using deterministic function and secure seed |
US10498823B2 (en) | 2015-01-30 | 2019-12-03 | Pure Storage, Inc. | Optimally apportioning rebuilding resources |
US10802915B2 (en) | 2015-01-30 | 2020-10-13 | Pure Storage, Inc. | Time based storage of encoded data slices |
US10437677B2 (en) | 2015-02-27 | 2019-10-08 | Pure Storage, Inc. | Optimized distributed rebuilding within a dispersed storage network |
US10409772B2 (en) | 2015-02-27 | 2019-09-10 | Pure Storage, Inc. | Accessing serially stored data in a dispersed storage network |
US11836369B1 (en) | 2015-02-27 | 2023-12-05 | Pure Storage, Inc. | Storing data in an expanded storage pool of a vast storage network |
US10503591B2 (en) | 2015-02-27 | 2019-12-10 | Pure Storage, Inc. | Selecting retrieval locations in a dispersed storage network |
US10275185B2 (en) | 2015-02-27 | 2019-04-30 | International Business Machines Corporation | Fail-in-place supported via decentralized or Distributed Agreement Protocol (DAP) |
US10404410B2 (en) | 2015-02-27 | 2019-09-03 | Pure Storage, Inc. | Storage unit (SU) report cards |
US10069915B2 (en) | 2015-02-27 | 2018-09-04 | International Business Machines Corporation | Storing data in a dispersed storage network |
US10423502B2 (en) | 2015-02-27 | 2019-09-24 | Pure Storage, Inc. | Stand-by distributed storage units |
US10528425B2 (en) | 2015-02-27 | 2020-01-07 | Pure Storage, Inc. | Transitioning to an optimized data storage approach in a dispersed storage network |
US10440115B2 (en) | 2015-02-27 | 2019-10-08 | Pure Storage, Inc. | Write intent messaging in a dispersed storage network |
US10387067B2 (en) | 2015-02-27 | 2019-08-20 | Pure Storage, Inc. | Optimizing data storage in a dispersed storage network |
US11188665B2 (en) | 2015-02-27 | 2021-11-30 | Pure Storage, Inc. | Using internal sensors to detect adverse interference and take defensive actions |
US10534668B2 (en) | 2015-02-27 | 2020-01-14 | Pure Storage, Inc. | Accessing data in a dispersed storage network |
US10078472B2 (en) | 2015-02-27 | 2018-09-18 | International Business Machines Corporation | Rebuilding encoded data slices in a dispersed storage network |
US10579451B2 (en) | 2015-02-27 | 2020-03-03 | Pure Storage, Inc. | Pro-actively preparing a dispersed storage network memory for higher-loads |
US10657000B2 (en) | 2015-02-27 | 2020-05-19 | Pure Storage, Inc. | Optimizing data storage in a dispersed storage network |
US10437676B2 (en) | 2015-02-27 | 2019-10-08 | Pure Storage, Inc. | Urgent reads and using data source health to determine error recovery procedures |
US10530861B2 (en) | 2015-02-27 | 2020-01-07 | Pure Storage, Inc. | Utilizing multiple storage pools in a dispersed storage network |
US9769201B2 (en) | 2015-03-06 | 2017-09-19 | Radware, Ltd. | System and method thereof for multi-tiered mitigation of cyber-attacks |
US10033758B2 (en) * | 2015-03-06 | 2018-07-24 | Radware, Ltd. | System and method for operating protection services |
US10915261B2 (en) | 2015-03-31 | 2021-02-09 | Pure Storage, Inc. | Selecting a set of storage units in a distributed storage network |
US10079887B2 (en) | 2015-03-31 | 2018-09-18 | International Business Machines Corporation | Expanding storage capacity of a set of storage units in a distributed storage network |
US10437515B2 (en) | 2015-03-31 | 2019-10-08 | Pure Storage, Inc. | Selecting storage units in a dispersed storage network |
US10713374B2 (en) | 2015-03-31 | 2020-07-14 | Pure Storage, Inc. | Resolving detected access anomalies in a dispersed storage network |
US10528282B2 (en) | 2015-03-31 | 2020-01-07 | Pure Storage, Inc. | Modifying and utilizing a file structure in a dispersed storage network |
US10963180B2 (en) | 2015-03-31 | 2021-03-30 | Pure Storage, Inc. | Adding incremental storage resources in a dispersed storage network |
US11055177B2 (en) | 2015-03-31 | 2021-07-06 | Pure Storage, Inc. | Correlating operational information with an error condition in a dispersed storage network |
US10534661B2 (en) | 2015-03-31 | 2020-01-14 | Pure Storage, Inc. | Selecting a storage error abatement alternative in a dispersed storage network |
US10387070B2 (en) | 2015-03-31 | 2019-08-20 | Pure Storage, Inc. | Migrating data in response to adding incremental storage resources in a dispersed storage network |
US10331384B2 (en) | 2015-03-31 | 2019-06-25 | International Business Machines Corporation | Storing data utilizing a maximum accessibility approach in a dispersed storage network |
US10852957B2 (en) | 2015-03-31 | 2020-12-01 | Pure Storage, Inc. | Migration agent employing moveslice request |
US10055170B2 (en) | 2015-04-30 | 2018-08-21 | International Business Machines Corporation | Scheduling storage unit maintenance tasks in a dispersed storage network |
US10067998B2 (en) | 2015-04-30 | 2018-09-04 | International Business Machines Corporation | Distributed sync list |
US10216594B2 (en) | 2015-04-30 | 2019-02-26 | International Business Machines Corporation | Automated stalled process detection and recovery |
US10037171B2 (en) | 2015-04-30 | 2018-07-31 | International Business Machines Corporation | Accessing common data in a dispersed storage network |
US10268376B2 (en) | 2015-04-30 | 2019-04-23 | International Business Machines Corporation | Automated deployment and assignment of access devices in a dispersed storage network |
US10168904B2 (en) | 2015-04-30 | 2019-01-01 | International Business Machines Corporation | Quasi-error notifications in a dispersed storage network |
US10157094B2 (en) | 2015-04-30 | 2018-12-18 | International Business Machines Corporation | Validating system registry files in a dispersed storage network |
US10078561B2 (en) | 2015-04-30 | 2018-09-18 | International Business Machines Corporation | Handling failing memory devices in a dispersed storage network |
US10254992B2 (en) | 2015-04-30 | 2019-04-09 | International Business Machines Corporation | Rebalancing data storage in a dispersed storage network |
US10324657B2 (en) | 2015-05-29 | 2019-06-18 | International Business Machines Corporation | Accounting for data whose rebuilding is deferred |
US10891058B2 (en) | 2015-05-29 | 2021-01-12 | Pure Storage, Inc. | Encoding slice verification information to support verifiable rebuilding |
US11115221B2 (en) | 2015-05-29 | 2021-09-07 | Pure Storage, Inc. | Verifying a rebuilt encoded data slice using slice verification information |
US10789128B2 (en) | 2015-05-29 | 2020-09-29 | Pure Storage, Inc. | External healing mode for a dispersed storage network memory |
US10838664B2 (en) | 2015-05-29 | 2020-11-17 | Pure Storage, Inc. | Determining a storage location according to legal requirements |
US10402122B2 (en) | 2015-05-29 | 2019-09-03 | Pure Storage, Inc. | Transferring encoded data slices in a dispersed storage network |
US10169125B2 (en) | 2015-05-29 | 2019-01-01 | International Business Machines Corporation | Re-encoding data in a dispersed storage network |
US10430107B2 (en) | 2015-05-29 | 2019-10-01 | Pure Storage, Inc. | Identifying stored data slices during a slice migration activity in a dispersed storage network |
US10613798B2 (en) | 2015-05-29 | 2020-04-07 | Pure Storage, Inc. | Slice fanout write request |
US10523241B2 (en) | 2015-05-29 | 2019-12-31 | Pure Storage, Inc. | Object fan out write operation |
US10409522B2 (en) | 2015-05-29 | 2019-09-10 | Pure Storage, Inc. | Reclaiming storage capacity in a dispersed storage network |
US10437671B2 (en) | 2015-06-30 | 2019-10-08 | Pure Storage, Inc. | Synchronizing replicated stored data |
US11669546B2 (en) | 2015-06-30 | 2023-06-06 | Pure Storage, Inc. | Synchronizing replicated data in a storage network |
US10055291B2 (en) | 2015-06-30 | 2018-08-21 | International Business Machines Corporation | Method and system for processing data access requests during data transfers |
US10127110B2 (en) | 2015-07-31 | 2018-11-13 | International Business Machines Corporation | Reallocating storage in a dispersed storage network |
US11782789B2 (en) | 2015-07-31 | 2023-10-10 | Pure Storage, Inc. | Encoding data and associated metadata in a storage network |
US10466914B2 (en) | 2015-08-31 | 2019-11-05 | Pure Storage, Inc. | Verifying authorized access in a dispersed storage network |
US10073652B2 (en) | 2015-09-24 | 2018-09-11 | International Business Machines Corporation | Performance optimized storage vaults in a dispersed storage network |
US10169147B2 (en) | 2015-10-30 | 2019-01-01 | International Business Machines Corporation | End-to-end secure data storage in a dispersed storage network |
US10346246B2 (en) | 2015-11-30 | 2019-07-09 | International Business Machines Corporation | Recovering data copies in a dispersed storage network |
US10409514B2 (en) | 2015-11-30 | 2019-09-10 | International Business Machines Corporation | IP multicast message transmission for event notifications |
US20170192688A1 (en) | 2015-12-30 | 2017-07-06 | International Business Machines Corporation | Lazy deletion of vaults in packed slice storage (pss) and zone slice storage (zss) |
US10089178B2 (en) | 2016-02-29 | 2018-10-02 | International Business Machines Corporation | Developing an accurate dispersed storage network memory performance model through training |
US10387248B2 (en) | 2016-03-29 | 2019-08-20 | International Business Machines Corporation | Allocating data for storage by utilizing a location-based hierarchy in a dispersed storage network |
US10831381B2 (en) | 2016-03-29 | 2020-11-10 | International Business Machines Corporation | Hierarchies of credential and access control sharing between DSN memories |
US10419538B2 (en) | 2016-04-26 | 2019-09-17 | International Business Machines Corporation | Selecting memory for data access in a dispersed storage network |
US10169082B2 (en) | 2016-04-27 | 2019-01-01 | International Business Machines Corporation | Accessing data in accordance with an execution deadline |
US10007444B2 (en) | 2016-04-29 | 2018-06-26 | International Business Machines Corporation | Batching access requests in a dispersed storage network |
US10628399B2 (en) | 2016-04-29 | 2020-04-21 | International Business Machines Corporation | Storing data in a dispersed storage network with consistency |
US10091298B2 (en) | 2016-05-27 | 2018-10-02 | International Business Machines Corporation | Enhancing performance of data storage in a dispersed storage network |
US10353772B2 (en) | 2016-05-31 | 2019-07-16 | International Business Machines Corporation | Selecting data for storage in a dispersed storage network |
US10122795B2 (en) | 2016-05-31 | 2018-11-06 | International Business Machines Corporation | Consistency level driven data storage in a dispersed storage network |
US10027755B2 (en) | 2016-06-01 | 2018-07-17 | International Business Machines Corporation | Selecting storage units in one or more dispersed storage networks |
US10394650B2 (en) | 2016-06-03 | 2019-08-27 | International Business Machines Corporation | Multiple writes using inter-site storage unit relationship |
US10652350B2 (en) | 2016-06-06 | 2020-05-12 | International Business Machines Corporation | Caching for unique combination reads in a dispersed storage network |
US10334045B2 (en) | 2016-06-06 | 2019-06-25 | International Business Machines Corporation | Indicating multiple encoding schemes in a dispersed storage network |
US10719499B2 (en) | 2016-06-06 | 2020-07-21 | INTERNATIONAL BUSINESS MACHINES CORPORATIOb | Establishing distributed consensus via alternate voting strategies in a dispersed storage network |
US10735545B2 (en) | 2016-06-06 | 2020-08-04 | International Business Machines Corporation | Routing vault access requests in a dispersed storage network |
US10007438B2 (en) | 2016-06-25 | 2018-06-26 | International Business Machines Corporation | Method and system for achieving consensus using alternate voting strategies (AVS) with incomplete information |
US10564852B2 (en) | 2016-06-25 | 2020-02-18 | International Business Machines Corporation | Method and system for reducing memory device input/output operations |
US10235085B2 (en) | 2016-06-27 | 2019-03-19 | International Business Machines Corporation | Relocating storage unit data in response to detecting hotspots in a dispersed storage network |
US11115469B2 (en) | 2016-06-28 | 2021-09-07 | International Business Machines Corporation | Efficient updates within a dispersed storage network |
US10025505B2 (en) | 2016-06-29 | 2018-07-17 | International Business Machines Corporation | Accessing data in a dispersed storage network during write operations |
US10157021B2 (en) | 2016-06-29 | 2018-12-18 | International Business Machines Corporation | Processing incomplete data access transactions |
US10387286B2 (en) | 2016-06-30 | 2019-08-20 | International Business Machines Corporation | Managing configuration updates in a dispersed storage network |
US9934092B2 (en) | 2016-07-12 | 2018-04-03 | International Business Machines Corporation | Manipulating a distributed agreement protocol to identify a desired set of storage units |
US10534666B2 (en) | 2016-07-14 | 2020-01-14 | International Business Machines Corporation | Determining storage requirements based on licensing right in a dispersed storage network |
US10102067B2 (en) | 2016-07-14 | 2018-10-16 | International Business Machines Corporation | Performing a desired manipulation of an encoded data slice based on a metadata restriction and a storage operational condition |
US10114696B2 (en) | 2016-07-14 | 2018-10-30 | International Business Machines Corporation | Tracking data access in a dispersed storage network |
US10360103B2 (en) | 2016-07-18 | 2019-07-23 | International Business Machines Corporation | Focused storage pool expansion to prevent a performance degradation |
US9992063B2 (en) | 2016-07-18 | 2018-06-05 | International Business Machines Corporation | Utilizing reallocation via a decentralized, or distributed, agreement protocol (DAP) for storage unit (SU) replacement |
US10769015B2 (en) | 2016-07-19 | 2020-09-08 | International Business Machines Corporation | Throttling access requests at different layers of a DSN memory |
US10277490B2 (en) | 2016-07-19 | 2019-04-30 | International Business Machines Corporation | Monitoring inter-site bandwidth for rebuilding |
US10031809B2 (en) | 2016-07-20 | 2018-07-24 | International Business Machines Corporation | Efficient method for rebuilding a set of encoded data slices |
US10554752B2 (en) | 2016-07-20 | 2020-02-04 | International Business Machines Corporation | Efficient transfer of encoded data slice sets to new or alternate storage units |
US10127112B2 (en) | 2016-07-20 | 2018-11-13 | International Business Machines Corporation | Assigning prioritized rebuild resources optimally |
US10459796B2 (en) | 2016-07-20 | 2019-10-29 | International Business Machines Corporation | Prioritizing rebuilding based on a longevity estimate of the rebuilt slice |
US10379744B2 (en) | 2016-07-21 | 2019-08-13 | International Business Machines Corporation | System for collecting end-user feedback and usability metrics |
US10416930B2 (en) | 2016-07-21 | 2019-09-17 | International Business Machines Corporation | Global access permit listing |
US10459790B2 (en) | 2016-07-26 | 2019-10-29 | International Business Machines Corporation | Elastic storage in a dispersed storage network |
US10395043B2 (en) | 2016-07-29 | 2019-08-27 | International Business Machines Corporation | Securely storing data in an elastically scalable dispersed storage network |
US10031805B2 (en) | 2016-08-09 | 2018-07-24 | International Business Machines Corporation | Assigning slices to storage locations based on a predicted lifespan |
US10223036B2 (en) | 2016-08-10 | 2019-03-05 | International Business Machines Corporation | Expanding a dispersed storage network (DSN) |
US10129023B2 (en) | 2016-08-11 | 2018-11-13 | International Business Machines Corporation | Enhancing security for multiple storage configurations |
US10348829B2 (en) | 2016-08-15 | 2019-07-09 | International Business Machines Corporation | Auto indexing with customizable metadata |
US10013309B2 (en) | 2016-08-17 | 2018-07-03 | International Business Machines Corporation | Missing slice reconstruction in a dispersed storage network |
US10379778B2 (en) | 2016-08-18 | 2019-08-13 | International Business Machines Corporation | Using a master encryption key to sanitize a dispersed storage network memory |
US10078468B2 (en) | 2016-08-18 | 2018-09-18 | International Business Machines Corporation | Slice migration in a dispersed storage network |
US10389683B2 (en) | 2016-08-26 | 2019-08-20 | International Business Machines Corporation | Securing storage units in a dispersed storage network |
US10581807B2 (en) | 2016-08-29 | 2020-03-03 | International Business Machines Corporation | Using dispersal techniques to securely store cryptographic resources and respond to attacks |
US10379773B2 (en) | 2016-08-29 | 2019-08-13 | International Business Machines Corporation | Storage unit for use in a dispersed storage network |
US10061524B2 (en) | 2016-09-01 | 2018-08-28 | International Business Machines Corporation | Wear-leveling of memory devices |
US10169149B2 (en) | 2016-09-06 | 2019-01-01 | International Business Machines Corporation | Standard and non-standard dispersed storage network data access |
US10387079B2 (en) | 2016-09-09 | 2019-08-20 | International Business Machines Corporation | Placement of dispersed storage data based on requestor properties |
US10225271B2 (en) | 2016-09-09 | 2019-03-05 | International Business Machines Corporation | Distributed storage network with enhanced security monitoring |
US10547615B2 (en) | 2016-09-12 | 2020-01-28 | International Business Machines Corporation | Security response protocol based on security alert encoded data slices of a distributed storage network |
US10558396B2 (en) | 2016-09-14 | 2020-02-11 | International Business Machines Corporation | Pre-caching data according to a current or predicted requester location |
US10558389B2 (en) | 2016-09-20 | 2020-02-11 | International Business Machines Corporation | Per-storage class quality of service (QoS) management within a distributed storage network (DSN) where the DSN stores data using dispersed storage error decoding/encoding |
US10067822B2 (en) | 2016-09-26 | 2018-09-04 | International Business Machines Corporation | Combined slice objects in alternate memory locations |
US10448062B2 (en) | 2016-10-26 | 2019-10-15 | International Business Machines Corporation | Pre-fetching media content to reduce peak loads |
US10394630B2 (en) | 2016-10-26 | 2019-08-27 | International Business Machines Corporation | Estimating relative data importance in a dispersed storage network |
US10585751B2 (en) | 2016-10-27 | 2020-03-10 | International Business Machines Corporation | Partial rebuild operation within a dispersed storage network including local memory and cloud-based alternative memory |
US10481977B2 (en) | 2016-10-27 | 2019-11-19 | International Business Machines Corporation | Dispersed storage of error encoded data objects having multiple resolutions |
US11169731B2 (en) | 2016-10-31 | 2021-11-09 | International Business Machines Corporation | Managing storage resources in a dispersed storage network |
US10540247B2 (en) | 2016-11-10 | 2020-01-21 | International Business Machines Corporation | Handling degraded conditions using a redirect module |
US10585607B2 (en) | 2016-11-10 | 2020-03-10 | International Business Machines Corporation | Determining an optimum selection of functions for units in a DSN memory |
US10114698B2 (en) | 2017-01-05 | 2018-10-30 | International Business Machines Corporation | Detecting and responding to data loss events in a dispersed storage network |
US10782921B2 (en) | 2017-01-25 | 2020-09-22 | International Business Machines Corporation | Non-writing device finalization of a write operation initiated by another device |
US10180787B2 (en) | 2017-02-09 | 2019-01-15 | International Business Machines Corporation | Dispersed storage write process with lock/persist |
US10241865B2 (en) | 2017-02-15 | 2019-03-26 | International Business Machines Corporation | Handling storage unit failure in a dispersed storage network |
US10579309B2 (en) | 2017-02-16 | 2020-03-03 | International Business Machines Corporation | Method for increasing throughput in a distributed storage network |
US10552341B2 (en) | 2017-02-17 | 2020-02-04 | International Business Machines Corporation | Zone storage—quickly returning to a state of consistency following an unexpected event |
US10248495B2 (en) | 2017-02-17 | 2019-04-02 | International Business Machines Corporation | Eventual consistency intent cleanup in a dispersed storage network |
US10382553B2 (en) | 2017-02-20 | 2019-08-13 | International Business Machines Corporation | Zone storage—resilient and efficient storage transactions |
US10394468B2 (en) | 2017-02-23 | 2019-08-27 | International Business Machines Corporation | Handling data slice revisions in a dispersed storage network |
US10241677B2 (en) | 2017-02-24 | 2019-03-26 | International Business Machines Corporation | Ensuring consistency between content and metadata with intents |
US9998147B1 (en) | 2017-02-27 | 2018-06-12 | International Business Machines Corporation | Method for using write intents in a distributed storage network |
US10642532B2 (en) | 2017-02-28 | 2020-05-05 | International Business Machines Corporation | Storing data sequentially in zones in a dispersed storage network |
US10372380B2 (en) | 2017-03-01 | 2019-08-06 | International Business Machines Corporation | Asserting integrity with a verifiable codec |
US10169392B2 (en) | 2017-03-08 | 2019-01-01 | International Business Machines Corporation | Persistent data structures on a dispersed storage network memory |
US11226980B2 (en) | 2017-03-13 | 2022-01-18 | International Business Machines Corporation | Replicating containers in object storage using intents |
US10235241B2 (en) | 2017-03-15 | 2019-03-19 | International Business Machines Corporation | Method for partial updating data content in a distributed storage network |
US10693640B2 (en) | 2017-03-17 | 2020-06-23 | International Business Machines Corporation | Use of key metadata during write and read operations in a dispersed storage network memory |
US10241861B2 (en) | 2017-03-23 | 2019-03-26 | International Business Machines Corporation | Method for tenant isolation in a distributed computing system |
US10133634B2 (en) | 2017-03-30 | 2018-11-20 | International Business Machines Corporation | Method for performing in-place disk format changes in a distributed storage network |
US10360391B2 (en) | 2017-04-03 | 2019-07-23 | International Business Machines Corporation | Verifiable keyed all-or-nothing transform |
US10545699B2 (en) | 2017-04-11 | 2020-01-28 | International Business Machines Corporation | Dynamic retention policies and optional deletes |
US10379961B2 (en) | 2017-04-11 | 2019-08-13 | International Business Machines Corporation | Ensuring metadata and index consistency using write intents |
US10567509B2 (en) | 2017-05-15 | 2020-02-18 | International Business Machines Corporation | Rebuilding derived content |
US10339003B2 (en) | 2017-06-01 | 2019-07-02 | International Business Machines Corporation | Processing data access transactions in a dispersed storage network using source revision indicators |
US10491386B2 (en) | 2017-06-01 | 2019-11-26 | International Business Machines Corporation | Slice-level keyed encryption with support for efficient rekeying |
US10467097B2 (en) | 2017-06-02 | 2019-11-05 | International Business Machines Corporation | Indicating data health in a DSN memory |
US10372381B2 (en) | 2017-06-05 | 2019-08-06 | International Business Machines Corporation | Implicit leader election in a distributed storage network |
US10361813B2 (en) | 2017-06-16 | 2019-07-23 | International Business Machine Corporation | Using slice routers for improved storage placement determination |
US10534548B2 (en) | 2017-06-20 | 2020-01-14 | International Business Machines Corporation | Validating restricted operations on a client using trusted environments |
US10324855B2 (en) | 2017-06-23 | 2019-06-18 | International Business Machines Corporation | Associating a processing thread and memory section to a memory device |
US10540111B2 (en) | 2017-06-28 | 2020-01-21 | International Business Machines Corporation | Managing data container instances in a dispersed storage network |
US10594790B2 (en) | 2017-06-28 | 2020-03-17 | International Business Machines Corporation | Data compression in a dispersed storage network |
US10599502B2 (en) | 2017-08-07 | 2020-03-24 | International Business Machines Corporation | Fault detection and recovery in a distributed storage network |
US10509699B2 (en) | 2017-08-07 | 2019-12-17 | International Business Machines Corporation | Zone aware request scheduling and data placement |
US10671746B2 (en) | 2017-08-28 | 2020-06-02 | International Business Machines Corporation | Controlling access when processing intents in a dispersed storage network |
US10379942B2 (en) | 2017-09-27 | 2019-08-13 | International Business Machines Corporation | Efficient transfer of objects between containers on the same vault |
US10585748B2 (en) | 2017-09-29 | 2020-03-10 | International Business Machines Corporation | Scalable cloud—assigning scores to requesters and treating requests differently based on those scores |
US10802713B2 (en) | 2017-09-29 | 2020-10-13 | International Business Machines Corporation | Requester-associated storage entity data |
US10409661B2 (en) | 2017-09-29 | 2019-09-10 | International Business Machines Corporation | Slice metadata for optimized dispersed storage network memory storage strategies |
US10540120B2 (en) | 2017-11-14 | 2020-01-21 | International Business Machines Corporation | Contention avoidance on associative commutative updates |
US10565392B2 (en) | 2017-11-28 | 2020-02-18 | International Business Machines Corporation | Secure and verifiable update operations |
US10423497B2 (en) | 2017-11-28 | 2019-09-24 | International Business Machines Corporation | Mechanism for representing system configuration changes as a series of objects writable to an object storage container |
US10785194B2 (en) | 2017-12-07 | 2020-09-22 | International Business Machines Corporation | Processing intents using trusted entities in a dispersed storage network |
US10681135B2 (en) | 2017-12-08 | 2020-06-09 | International Business Machines Corporation | Generating slices from a broadcast message and a recipient identity |
US11412041B2 (en) | 2018-06-25 | 2022-08-09 | International Business Machines Corporation | Automatic intervention of global coordinator |
US10936452B2 (en) | 2018-11-14 | 2021-03-02 | International Business Machines Corporation | Dispersed storage network failover units used to improve local reliability |
US11593026B2 (en) | 2020-03-06 | 2023-02-28 | International Business Machines Corporation | Zone storage optimization using predictive protocol patterns |
Family Cites Families (46)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4797882A (en) * | 1985-10-02 | 1989-01-10 | American Telephone And Telegraph Company, At&T Bell Laboratories | Mesh-based switching network |
FR2591774B1 (en) | 1985-11-06 | 1996-07-12 | Canon Kk | FILE SYSTEM |
JPH05101640A (en) | 1991-10-03 | 1993-04-23 | Nec Corp | Magnetic memory element |
US5771354A (en) | 1993-11-04 | 1998-06-23 | Crawford; Christopher M. | Internet online backup system provides remote storage for customers using IDs and passwords which were interactively established when signing up for backup services |
US5574906A (en) | 1994-10-24 | 1996-11-12 | International Business Machines Corporation | System and method for reducing storage requirement in backup subsystems utilizing segmented compression and differencing |
US5819020A (en) | 1995-10-16 | 1998-10-06 | Network Specialists, Inc. | Real time backup system |
US5956733A (en) | 1996-10-01 | 1999-09-21 | Fujitsu Limited | Network archiver system and storage medium storing program to construct network archiver system |
US6131148A (en) | 1998-01-26 | 2000-10-10 | International Business Machines Corporation | Snapshot copy of a secondary volume of a PPRC pair |
US6324654B1 (en) | 1998-03-30 | 2001-11-27 | Legato Systems, Inc. | Computer network remote data mirroring system |
US6189079B1 (en) | 1998-05-22 | 2001-02-13 | International Business Machines Corporation | Data copy between peer-to-peer controllers |
JP2000172657A (en) | 1998-12-08 | 2000-06-23 | Fujitsu Ltd | System and method for distributed processing, computer- readable recording medium with program for computer to execute the same method recorded therein, server device and client device |
US6463454B1 (en) * | 1999-06-17 | 2002-10-08 | International Business Machines Corporation | System and method for integrated load distribution and resource management on internet environment |
US6460082B1 (en) | 1999-06-17 | 2002-10-01 | International Business Machines Corporation | Management of service-oriented resources across heterogeneous media servers using homogenous service units and service signatures to configure the media servers |
US6597956B1 (en) | 1999-08-23 | 2003-07-22 | Terraspring, Inc. | Method and apparatus for controlling an extensible computing system |
GB2354350B (en) | 1999-09-17 | 2004-03-24 | Mitel Corp | Policy representations and mechanisms for the control of software |
US6505216B1 (en) | 1999-10-01 | 2003-01-07 | Emc Corporation | Methods and apparatus for backing-up and restoring files using multiple trails |
US6526418B1 (en) | 1999-12-16 | 2003-02-25 | Livevault Corporation | Systems and methods for backing up data files |
JP3621324B2 (en) | 2000-03-02 | 2005-02-16 | 日本電信電話株式会社 | Virtual private network usage rule management method and apparatus |
US7260635B2 (en) | 2000-03-21 | 2007-08-21 | Centrisoft Corporation | Software, systems and methods for managing a distributed network |
US20010039497A1 (en) | 2000-03-30 | 2001-11-08 | Hubbard Edward A. | System and method for monitizing network connected user bases utilizing distributed processing systems |
JP2002259146A (en) | 2000-05-15 | 2002-09-13 | Matsushita Electric Ind Co Ltd | Device and method for executing application |
US7024668B2 (en) | 2000-05-15 | 2006-04-04 | Matsushita Electric Industrial Co., Ltd. | Application execution apparatus and method |
US6571257B1 (en) | 2000-06-07 | 2003-05-27 | Hewlett-Packard Development Company, L.P. | Efficient, real-time management of storage resources |
US20020019844A1 (en) * | 2000-07-06 | 2002-02-14 | Kurowski Scott J. | Method and system for network-distributed computing |
JP2002108839A (en) | 2000-09-28 | 2002-04-12 | Mitsubishi Electric Corp | Communication network system, method for job assignment and computer-readable recording medium with recorded program to be executed by computer |
US7249179B1 (en) | 2000-11-09 | 2007-07-24 | Hewlett-Packard Development Company, L.P. | System for automatically activating reserve hardware component based on hierarchical resource deployment scheme or rate of resource consumption |
US7296088B1 (en) | 2000-11-17 | 2007-11-13 | Microsoft Corporation | System and method for determining the geographic location of internet hosts |
US20020124137A1 (en) | 2001-01-29 | 2002-09-05 | Ulrich Thomas R. | Enhancing disk array performance via variable parity based load balancing |
US6757590B2 (en) * | 2001-03-15 | 2004-06-29 | Utc Fuel Cells, Llc | Control of multiple fuel cell power plants at a site to provide a distributed resource in a utility grid |
US7085835B2 (en) | 2001-05-09 | 2006-08-01 | International Business Machines Corporation | Apparatus, system and method for subscription computing using spare resources of subscriber computing platforms |
JP4320977B2 (en) | 2001-06-05 | 2009-08-26 | コニカミノルタビジネステクノロジーズ株式会社 | Image reading apparatus, image transmission method, image transmission program, computer-readable recording medium recording image transmission program, image management apparatus, image management method, image management program, and computer-readable recording medium recording image management program |
US20020194340A1 (en) | 2001-06-16 | 2002-12-19 | Ebstyne Bryan D. | Enterprise storage resource management system |
US6883110B1 (en) | 2001-06-18 | 2005-04-19 | Gateway, Inc. | System and method for providing a data backup of a server on client systems in a network |
JP3879471B2 (en) | 2001-10-10 | 2007-02-14 | 株式会社日立製作所 | Computer resource allocation method |
US7171668B2 (en) | 2001-12-17 | 2007-01-30 | International Business Machines Corporation | Automatic data interpretation and implementation using performance capacity management framework over many servers |
US7243103B2 (en) * | 2002-02-14 | 2007-07-10 | The Escher Group, Ltd. | Peer to peer enterprise storage system with lexical recovery sub-system |
US7496655B2 (en) * | 2002-05-01 | 2009-02-24 | Satyam Computer Services Limited Of Mayfair Centre | System and method for static and dynamic load analyses of communication network |
CN1380774A (en) * | 2002-05-21 | 2002-11-20 | 顾士平 | Fifth-genration large-unified rireless network system |
US7213158B2 (en) | 2002-06-28 | 2007-05-01 | Lenovo (Singapore) Pte. Ltd. | Distributed autonomic backup |
WO2004010249A2 (en) | 2002-07-19 | 2004-01-29 | Synchrologic, Inc. | System and method for utilizing profile information |
TW565801B (en) | 2002-08-22 | 2003-12-11 | Infowrap Technologies Inc | Cluster computer having distributed load balancing system |
US6928476B2 (en) | 2002-08-23 | 2005-08-09 | Mirra, Inc. | Peer to peer remote data storage and collaboration |
US7089383B2 (en) | 2003-06-06 | 2006-08-08 | Hewlett-Packard Development Company, L.P. | State machine and system for data redundancy |
US20050044226A1 (en) | 2003-07-31 | 2005-02-24 | International Business Machines Corporation | Method and apparatus for validating and ranking resources for geographic mirroring |
US7644153B2 (en) | 2003-07-31 | 2010-01-05 | Hewlett-Packard Development Company, L.P. | Resource allocation management in interactive grid computing systems |
US20050125537A1 (en) | 2003-11-26 | 2005-06-09 | Martins Fernando C.M. | Method, apparatus and system for resource sharing in grid computing networks |
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